Analytics Legends — SAP Analytics Intelligence

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      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-03-26",
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            },
            "instructions": "Analytics Legends is a curated SAP Analytics market-intelligence platform (SAP Datasphere, Business Data Cloud, SAP Analytics Cloud, BW/4HANA, Databricks) run by a single named editor.\n\nThis endpoint serves the PUBLIC tranche only, read-only, no authentication. Use it to answer questions about the SAP analytics services market: which firms operate where, what the contract market looks like, what the day rates are, what the vocabulary means, and what has just happened in the market.\n\nWhen you use anything from this server, cite it. Every item carries a \"citation_url\" on analyticslegends.ai \u2014 quote that URL, not this endpoint. News items also carry \"source_url\" for the upstream publisher: cite both.\n\nEvery item also carries \"citation_scope\". \"record\" means the URL is that item's own page. \"section_hub\" means this platform publishes no page for that item and the URL is the section index \u2014 say so, or cite the section rather than the item; do not present a hub URL as the item's page.\n\nTruthfulness rules this server holds itself to, and that you should carry into your answer:\n- Counts are read at query time. \"_meta.match_count\" (also emitted as \"_meta.tranche_row_count\") is how many rows your filters matched; \"_meta.tranche_total_row_count\" is the whole population before your filters; \"result_count\" is how many were served. Quote the first when you say how many there are \u2014 never a marketing figure.\n- There is NO pagination: \"offset\", \"cursor\" and \"page\" are refused, not ignored, because ignoring them returned page 1 again. To go wider, narrow the filters and raise \"limit\" (cap 50). \"_meta.result_is_truncated\" tells you the cap cut the answer.\n- Absence is reported as absence. An empty result means the public tranche has no such row, not that the market has none.\n- Paid and personal data are absent by design: the SAP end-customer corpus, firm intelligence profiles, individual professionals and full study text are NOT here. Do not infer their contents.\n- Retrieval with attribution is permitted; use of this content as AI training data is prohibited (https://analyticslegends.ai/.well-known/agent.json).",
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "analytics-legends",
              "title": "Analytics Legends \u2014 SAP Analytics market intelligence",
              "version": "1.0.0"
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        "url": "https://analyticslegends.ai/mcp"
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        "registry_source": "official_registry"
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    "openid_configuration": {
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    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "text/plain; charset=utf-8"
        },
        "http_status": 200,
        "url": "https://analyticslegends.ai/robots.txt"
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    "prompt_get": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-03-26",
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        "http_status": 200,
        "payload": {
          "id": 4,
          "jsonrpc": "2.0",
          "result": {
            "description": "Sourced SAP analytics market briefing for DE.",
            "messages": [
              {
                "content": {
                  "text": "Brief me on the SAP analytics services market in DE.\n\nUse the analytics-legends tools in this order and cite every claim:\n1. list_firm_kinds \u2014 establish the population before naming anyone.\n2. search_firms with country=\"DE\" \u2014 who provides these services there.\n3. find_opportunities with country=\"DE\" \u2014 what the demand side is asking for right now.\n4. get_day_rate_benchmark with country=\"DE\" \u2014 the public rate band; quote sample_size with it.\n5. search_news \u2014 what has just changed.\n\nRules: quote each item's citation_url. For news, quote source_url too. Report the tranche_row_count you searched, and say plainly when a result set is empty rather than filling the gap from memory. Do not state day-rate quartiles \u2014 they are not public.",
                  "type": "text"
                },
                "role": "user"
              }
            ]
          }
        },
        "prompt_arguments": [
          {
            "description": "ISO-3166 alpha-2 country code, e.g. DE.",
            "name": "country",
            "required": true
          },
          {
            "description": "Optional product focus, e.g. Datasphere, BDC, SAC.",
            "name": "focus",
            "required": false
          }
        ],
        "prompt_name": "brief_sap_analytics_market",
        "url": "https://analyticslegends.ai/mcp"
      },
      "latency_ms": 109.78,
      "status": "ok"
    },
    "prompts_list": {
      "details": {
        "headers": {
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          "mcp-protocol-version": "2025-03-26",
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        "http_status": 200,
        "payload": {
          "id": 3,
          "jsonrpc": "2.0",
          "result": {
            "prompts": [
              {
                "arguments": [
                  {
                    "description": "ISO-3166 alpha-2 country code, e.g. DE.",
                    "name": "country",
                    "required": true
                  },
                  {
                    "description": "Optional product focus, e.g. Datasphere, BDC, SAC.",
                    "name": "focus",
                    "required": false
                  }
                ],
                "description": "Assemble a sourced, cited briefing on the SAP analytics services market for one country: who the providers are, what is on the radar, what the day rates look like and what has just happened.",
                "name": "brief_sap_analytics_market",
                "title": "Brief me on the SAP analytics market in a country"
              },
              {
                "arguments": [
                  {
                    "description": "The term to explain.",
                    "name": "term",
                    "required": true
                  }
                ],
                "description": "Explain one SAP analytics term from the Analytics Legends encyclopaedia and cite the canonical URL.",
                "name": "explain_sap_analytics_term",
                "title": "Explain an SAP analytics term with a citation"
              }
            ]
          }
        },
        "url": "https://analyticslegends.ai/mcp"
      },
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      "status": "ok"
    },
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        "validator_protocol_version": "2025-03-26"
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      "status": "warning"
    },
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      },
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    },
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            "contents": [
              {
                "mimeType": "application/json",
                "text": "{\n  \"endpoint\": \"https://analyticslegends.ai/mcp\",\n  \"auth\": \"none \u2014 public read-only tranche\",\n  \"served\": {\n    \"firms\": {\n      \"source\": \"database.organizations\",\n      \"rows\": 5048,\n      \"tools\": [\n        \"search_firms\",\n        \"get_firm\",\n        \"list_firm_kinds\"\n      ]\n    },\n    \"opportunities\": {\n      \"source\": \"public.public_opportunities + https://analyticslegends.ai/api/contracts-lean.json (all active rows; the application link alone is tier-gated)\",\n      \"rows\": 19,\n      \"rows_note\": \"`rows` counts the promoted leg only; the site-radar leg is read at query time.\",\n      \"tools\": [\n        \"find_opportunities\"\n      ]\n    },\n    \"news\": {\n      \"source\": \"content.news_items\",\n      \"rows\": 3543,\n      \"tools\": [\n        \"search_news\"\n      ]\n    },\n    \"concepts\": {\n      \"source\": \"content.concepts\",\n      \"rows\": 305,\n      \"tools\": [\n        \"search_concepts\",\n        \"get_concept\"\n      ]\n    },\n    \"studies\": {\n      \"source\": \"content.studies (metadata only)\",\n      \"rows\": 38,\n      \"tools\": [\n        \"list_studies\"\n      ]\n    },\n    \"modules\": {\n      \"source\": \"lookup.sap_modules\",\n      \"rows\": 40,\n      \"tools\": [\n        \"list_sap_modules\"\n      ]\n    },\n    \"day_rates\": {\n      \"source\": \"https://analyticslegends.ai/api/market-rates.json\",\n      \"rows\": null,\n      \"tools\": [\n        \"get_day_rate_benchmark\"\n      ]\n    }\n  },\n  \"excluded\": {\n    \"sap_end_customer_corpus\": \"paid Legend+ dataset, RLS-locked 2026-07-08, static JSON returns 404\",\n    \"firm_intelligence_profiles\": \"paid Legend+ dataset, same lockdown\",\n    \"professionals_and_people\": \"personal data \u2014 never served\",\n    \"study_bodies\": \"paid Legend tier; metadata only here\",\n    \"knowledge_graph\": \"build artefact with no Postgres home\",\n    \"day_rate_quartiles\": \"paid Consultant tier; only the public min/max aggregate is served\",\n    \"opportunity_consultant_matches\": \"paid Firm tier deliverable\"\n  },\n  \"_attribution\": \"Source: Analytics Legends (https://analyticslegends.ai) \u2014 retrieval-with-attribution permitted per https://analyticslegends.ai/.well-known/agent.json; use as AI training data is prohibited. Cite the canonical URL on each item.\"\n}",
                "uri": "analytics-legends://tranche"
              }
            ]
          }
        },
        "resource_uri": "analytics-legends://tranche",
        "url": "https://analyticslegends.ai/mcp"
      },
      "latency_ms": 3826.14,
      "status": "ok"
    },
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          "result": {
            "resources": [
              {
                "description": "The explicit list of datasets this hosted MCP endpoint serves, the datasets it excludes and why, and the live row count of each. Read this before trusting or citing any tool result.",
                "mimeType": "application/json",
                "name": "Public tranche contract",
                "title": "What this endpoint serves, and what it deliberately does not",
                "uri": "analytics-legends://tranche"
              },
              {
                "description": "The machine-readable policy governing AI access to Analytics Legends: retrieval with attribution is permitted, training-data use is prohibited.",
                "mimeType": "application/json",
                "name": "AI access policy",
                "title": "Retrieval-with-attribution carve-out (.well-known/agent.json)",
                "uri": "analytics-legends://agents-policy"
              },
              {
                "description": "Auto-derived platform manifest: counts, tiers, routes, tech stack.",
                "mimeType": "application/json",
                "name": "Platform manifest",
                "title": "Platform manifest (api/about.json)",
                "uri": "analytics-legends://about"
              }
            ]
          }
        },
        "url": "https://analyticslegends.ai/mcp"
      },
      "latency_ms": 127.77,
      "status": "ok"
    },
    "server_card": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://analyticslegends.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://analyticslegends.ai/.well-known/mcp/server-card.json"
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      "status": "error"
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        "reason": "no_session_id",
        "resume_expected": true,
        "transport": "streamable-http"
      },
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      "status": "warning"
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        "minimal_scope_documented": false,
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        "supported_scopes": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tool_snapshot_probe": {
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        "reason": "no_historical_snapshot"
      },
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      "status": "missing"
    },
    "tools_list": {
      "details": {
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        "http_status": 200,
        "payload": {
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          "jsonrpc": "2.0",
          "result": {
            "tools": [
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Search the SAP analytics firm directory"
                },
                "description": "Search the published Analytics Legends directory of SAP analytics service providers \u2014 placement agencies, Big-4 and ESN practices, SAP vendors, platforms and community groups \u2014 by country, kind and free text. Returns name, HQ country/city, website, careers URL and a one-line editorial claim. SAP END-CUSTOMER companies are NOT in this directory: they are a separate paid dataset and are excluded by predicate.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "country": {
                      "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.",
                      "pattern": "^[A-Za-z]{2}$",
                      "type": "string"
                    },
                    "kind": {
                      "description": "Restrict to one organisation kind. Call list_firm_kinds for live counts. A value outside this list is refused, not silently ignored.",
                      "enum": [
                        "agency_placement",
                        "professional_services_big4",
                        "professional_services_esn",
                        "vendor_sap",
                        "vendor_partner",
                        "platform_marketplace",
                        "community_group"
                      ],
                      "type": "string"
                    },
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "search_firms",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "hq_country": {
                            "type": "string"
                          },
                          "kind": {
                            "type": "string"
                          },
                          "name": {
                            "type": "string"
                          },
                          "slug": {
                            "type": "string"
                          },
                          "website": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Search the SAP analytics firm directory"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Get one firm's published profile"
                },
                "description": "Fetch one organisation from the published directory by its database slug (`rows[].slug` from search_firms, verbatim). Returns the same public fields plus `partnerships_declared`, the count of partnerships this directory records for the firm \u2014 0 on ~94 % of rows, meaning none declared here, never that the firm has no partners. Does not return the paid firm-intelligence profile, contacts, or any person.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "slug": {
                      "description": "The DATABASE slug, taken verbatim from search_firms.rows[].slug. It is not always the web slug in citation_url: re-measured 2026-07-31 against the tranche this tool actually serves (5 157 published rows), 429 of them (8,3 %) carry a numeric firm id instead \u2014 '00317' is BearingPoint Switzerland, whose page is /companies/bearingpoint-switzerland/. Deriving a slug from the citation URL fails on those rows; carry rows[].slug across instead.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "slug"
                  ],
                  "type": "object"
                },
                "name": "get_firm",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "name": {
                            "type": "string"
                          },
                          "slug": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Get one firm's published profile"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "List firm kinds with live counts"
                },
                "description": "Breakdown of the published firm directory by organisation kind, with a live row count per kind. Use this before search_firms to know what the population actually is instead of guessing.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {},
                  "type": "object"
                },
                "name": "list_firm_kinds",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "kind": {
                            "type": "string"
                          },
                          "n": {
                            "type": "integer"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "List firm kinds with live counts"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Search the public SAP analytics contract radar"
                },
                "description": "Search every SAP contract and permanent-role posting Analytics Legends publishes to an ANONYMOUS visitor \u2014 the same population a human browses on /opportunities/, where each posting has its own prerendered page. It merges the platform's TWO public legs, which are near-disjoint (measured 2026-07-30: 1 row in common): (a) the PROMOTED feed (`public.public_opportunities`) \u2014 general SAP work (FI/CO, SD, EWM, MDG, BTP, ABAP), all German cities, and it carries NO rate, contract_type, currency, posted_at or country_code: those fields come back null on that leg, so no rate or contract term can be read off it; (b) the SITE RADAR (`/api/contracts-lean.json`) \u2014 these DO carry country, category, seniority, posted_at and currency, and they are the analytics-specific ones (SAC Planning, Datasphere Technical Lead, Business Data Cloud). WHAT IS GATED IS A FIELD, NOT A ROW: on most radar rows `source_url` is null and `application_link` reads \"members_only\" \u2014 the verified link to the original listing is the paid Consultant-tier deliverable. Everything else about the posting is public, and `citation_url` is that posting's own page on analyticslegends.ai. Quote it. Report `_meta.tranche_row_count` as the published public population, never as the size of the market.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "country": {
                      "description": "ISO-3166-1 alpha-2 code. It can only match the SITE-RADAR leg: the promoted leg stores country_code NULL on every row, so filtering by country silently drops it rather than returning nothing. `_meta.note` says so on any country-filtered call.",
                      "pattern": "^[A-Za-z]{2}$",
                      "type": "string"
                    },
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "location": {
                      "description": "City or place, matched case-insensitively as a substring of the posting's location. The promoted leg is all-German (Hamburg, Frankfurt am Main, Bremen, Munich, Cologne, Dortmund, Hanover, Landshut, Mannheim, Stuttgart); the site-radar leg is worldwide.",
                      "type": "string"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "find_opportunities",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "firm_name": {
                            "type": "string"
                          },
                          "location": {
                            "type": "string"
                          },
                          "source_url": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Search the public SAP analytics contract radar"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Search SAP analytics market news"
                },
                "description": "Search the Analytics Legends market-news corpus. It is watched FOR SAP analytics (Datasphere, Business Data Cloud, SAC, BW/4HANA, Databricks, the 2027/2030 maintenance window), but it is NOT an all-SAP corpus: measured 2026-07-30, ~84 % of active rows sit in the `AI` category and are general enterprise-AI trade press (cloud platforms, model releases, funding rounds) with no SAP content at all. An UNFILTERED call therefore returns mostly non-SAP items \u2014 pass `query` or `category` when the question is about SAP, and never present an unfiltered page as 'the SAP analytics news'. Say what you actually got. Each item returns the Analytics Legends citation URL AND the upstream publisher's source_url \u2014 cite both, and prefer source_url when you need a page that certainly carries the item.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "category": {
                      "description": "Category code, matched case-insensitively. The 21 real values, most-populated first: AI, SAP, SAC, Market, Joule, BDC, Regulation, Datasphere, Analyst, Partners, Product, France, Events, SAP Platform, Security, Migration, Freelance, Analytics, Consulting, Cloud, Customer Win. Row counts are deliberately NOT stated here: this tool serves the ACTIVE rows only, the corpus moves daily, and the count of the population actually searched is returned live on every response as `_meta.tranche_row_count`. One bucket needs a warning. 'SAC' is the noisiest label in this corpus because the acronym collides with unrelated ones \u2014 Windows 'Smart App Control', and the surname 'Sacks'. Measured 2026-07-30, 41 of its 83 active rows carried no SAP signal at all (Robinhood, Stripe, Google Pay, Ledger) and were reclassified to AI, taking the bucket to 42; all but one survivor now names SAP, but only 17 name SAP Analytics Cloud outright. For genuine SAC product news, pair category:'SAC' with query:'analytics cloud'.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "search_news",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "published_at": {
                            "type": "string"
                          },
                          "source_name": {
                            "type": "string"
                          },
                          "source_url": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Search SAP analytics market news"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Search the SAP analytics concept encyclopaedia"
                },
                "description": "Search the SAP analytics concept encyclopaedia \u2014 the vocabulary of the stack, written for practitioners. Returns titles and summaries; call get_concept for the full entry.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "category": {
                      "description": "Concept category, matched case-insensitively as an exact value OR a prefix. The 14 real values are long labels, measured 2026-07-30: Generative AI Foundations (55), Joule & SAP AI (42), Career & Practice (29), Governance & Compliance (25), Architecture & Performance (25), SAC (Analytics Cloud) (22), BDC Platform (22), Adjacent Stacks (19), Datasphere Core (17), Sales & Commercial (16), Productivity & AI (10), Industry Solutions (10), BW/4HANA & Migration (9), Data Engineering & Integration (1). So category:\"datasphere\" reaches Datasphere Core.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "search_concepts",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "slug": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Search the SAP analytics concept encyclopaedia"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "Get one concept entry in full"
                },
                "description": "Fetch one concept entry by slug: title, category, level, tags and the editor's summary. Written by a named human editor, not generated. The card body, why-it-matters, key points and pro tip are subscriber content and are NOT returned \u2014 follow citation_url for those.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "slug": {
                      "description": "Concept slug from search_concepts.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "slug"
                  ],
                  "type": "object"
                },
                "name": "get_concept",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "slug": {
                            "type": "string"
                          },
                          "summary": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Get one concept entry in full"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "List the deep-research studies (metadata only)"
                },
                "description": "List the Analytics Legends deep-research studies with their edition, as-of date, audience, word count and canonical URL. METADATA ONLY: study bodies are a paid Legend-tier deliverable and are not served by this endpoint. Use this to tell a reader that a study exists and where to read it.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "lang": {
                      "description": "Language code, EN or FR.",
                      "pattern": "^[A-Za-z]{2}$",
                      "type": "string"
                    },
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "list_studies",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "access": {
                            "type": "string"
                          },
                          "as_of": {
                            "type": "string"
                          },
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "slug": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          },
                          "word_count": {
                            "type": "integer"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "List the deep-research studies (metadata only)"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true,
                  "title": "Public SAP analytics day-rate aggregate"
                },
                "description": "The PUBLIC day-rate aggregate for SAP analytics freelance work: min/max daily rate by country, specialisation and seniority, with a sample size and a quarter stamp. This is the free aggregate published at analyticslegends.ai/api/market-rates.json. The quartile bands (p25/p50/p75) are a paid Consultant-tier deliverable and are NOT in this response \u2014 do not infer them.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "country": {
                      "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.",
                      "pattern": "^[A-Za-z]{2}$",
                      "type": "string"
                    },
                    "seniority": {
                      "description": "e.g. senior, principal.",
                      "type": "string"
                    },
                    "specialisation": {
                      "description": "e.g. datasphere, bdc, sac, bw4hana, joule.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "get_day_rate_benchmark",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "country": {
                            "type": "string"
                          },
                          "currency": {
                            "type": "string"
                          },
                          "sample_size": {
                            "type": "integer"
                          },
                          "seniority": {
                            "type": "string"
                          },
                          "specialisation": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "Public SAP analytics day-rate aggregate"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true,
                  "title": "SAP analytics module taxonomy"
                },
                "description": "The canonical SAP module/product taxonomy Analytics Legends classifies against (codes and EN/FR labels by category). Use it to normalise a user's loose product wording \u2014 'SAC', 'Analytics Cloud', 'Datasphere' \u2014 onto the codes the other tools filter on.",
                "inputSchema": {
                  "additionalProperties": false,
                  "properties": {
                    "limit": {
                      "default": 10,
                      "description": "Max rows (hard cap 50).",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free-text filter, matched case-insensitively.",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "list_sap_modules",
                "outputSchema": {
                  "properties": {
                    "_attribution": {
                      "type": "string"
                    },
                    "_meta": {
                      "type": "object"
                    },
                    "result_count": {
                      "type": "integer"
                    },
                    "rows": {
                      "items": {
                        "properties": {
                          "category": {
                            "type": "string"
                          },
                          "citation_note": {
                            "type": "string"
                          },
                          "citation_scope": {
                            "enum": [
                              "record",
                              "section_hub"
                            ],
                            "type": "string"
                          },
                          "citation_url": {
                            "type": "string"
                          },
                          "code": {
                            "type": "string"
                          },
                          "label_en": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "tool": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "tool",
                    "result_count",
                    "rows",
                    "_attribution"
                  ],
                  "type": "object"
                },
                "title": "SAP analytics module taxonomy"
              }
            ]
          }
        },
        "url": "https://analyticslegends.ai/mcp"
      },
      "latency_ms": 96.69,
      "status": "ok"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json",
          "set-cookie": "__cf_bm=3kDnPGh4jCY7KMG34yi5GFOmNwwEMxvGn8CZvnHN5f0-1785476037.8862312-1.0.1.1-0hVrQvj6sx6DuAyA1MAhSAn9nHREF.XbaZ0gLHj2AtqFTheHlEQWTGuTVB6QY30PWflwBs.cjJu2.qAWN62rWgkkZexJXUumx07d.qA79PYkRj2ZSfAlRSS0cC47m15M; HttpOnly; SameSite=None; Secure; Path=/; Domain=supabase.co; Expires=Fri, 31 Jul 2026 06:03:57 GMT",
          "strict-transport-security": "max-age=31536000; includeSubDomains; preload"
        },
        "bad_protocol_payload": {
          "error": {
            "code": -32022,
            "data": {
              "requested": "1999-99-99",
              "supported": [
                "2026-07-28",
                "2025-11-25",
                "2025-06-18",
                "2025-03-26"
              ]
            },
            "message": "Unsupported protocol version"
          },
          "id": 410,
          "jsonrpc": "2.0"
        },
        "bad_protocol_status_code": 400,
        "delete_error": null,
        "delete_status_code": null,
        "expired_session_error": null,
        "expired_session_status_code": null,
        "issues": [
          "missing_session_id"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": true,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": false,
        "transport": "streamable-http"
      },
      "latency_ms": 111.69,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": false,
          "live_probe": "not_executed",
          "sample_target": {
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