Indicate

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            "instructions": "This server exposes the Indicate Data analytics API.\n\nTERMINOLOGY \u2014 the Indicate system uses different names than the tools. The mapping is:\n  \u2022 tenant  = space  (the user's organisation / account)\n  \u2022 data source  = data product  (e.g. Google Analytics, vioma)\n  \u2022 metric  = data cube  (a measurable KPI like 'Total Bookings')\n  \u2022 dimension  = dimension  (a perspective or grouping axis)\n\nIf the user mentions spaces, data products, or data cubes, map them to the corresponding tool names above.\n\nCASCADING WORKFLOW \u2014 each step returns IDs that feed into the next:\n  1. list_tenants  \u2192  returns tenant_id\n  2. list_data_sources(tenant_id)  \u2192  returns data_source_id + semantic_context_id\n  3. list_metrics(tenant_id, data_source_id, semantic_context_id)  \u2192  returns metric_id + dimension IDs (perspective & group)\n  4. query_metric(tenant_id, data_source_id, metric_id, perspective_dimension_id, group_dimension_id)  \u2192  time-series data",
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                    "required": false
                  }
                ],
                "description": "Pre-built prompt to guide an LLM through a complete metric analysis. Provide a metric name or topic and an optional date range.",
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            ]
          }
        },
        "url": "https://industry.indicate-data.io/agent/semantic/mcp"
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                "text": "{\n  \"tool_to_system\": {\n    \"tenant\": \"space\",\n    \"data source\": \"data product\",\n    \"metric\": \"data cube\",\n    \"dimension\": \"dimension\"\n  },\n  \"system_to_tool\": {\n    \"space\": \"tenant\",\n    \"data product\": \"data source\",\n    \"data cube\": \"metric\",\n    \"dimension\": \"dimension\"\n  },\n  \"tool_mapping\": {\n    \"list_tenants\": \"Lists spaces (tenants) the user can access.\",\n    \"list_data_sources\": \"Lists data products (data sources) within a space.\",\n    \"list_metrics\": \"Lists data cubes (metrics) and their dimensions.\",\n    \"query_metric\": \"Queries time-series data for a specific data cube.\"\n  }\n}",
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                "description": "Maps between user-facing tool names and Indicate system names. Use this to translate when a user refers to spaces, data products, or data cubes.",
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              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Step 1 \u2014 List all tenants the authenticated user can access. (In the Indicate system a tenant is called a 'space'.)\nReturns each tenant's 'id' and 'displayName'.\n\u2192 Pass the chosen tenant 'id' as 'tenant_id' to every subsequent tool call.",
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                  "properties": {},
                  "title": "list_tenantsArguments",
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                },
                "name": "list_tenants",
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                      "description": "Lightweight projection of a tenant (space).",
                      "properties": {
                        "displayName": {
                          "title": "Displayname",
                          "type": "string"
                        },
                        "id": {
                          "title": "Id",
                          "type": "string"
                        }
                      },
                      "required": [
                        "id",
                        "displayName"
                      ],
                      "title": "TenantSummary",
                      "type": "object"
                    }
                  },
                  "description": "Response wrapper for listing tenants.",
                  "properties": {
                    "tenants": {
                      "items": {
                        "$ref": "#/$defs/TenantSummary"
                      },
                      "title": "Tenants",
                      "type": "array"
                    }
                  },
                  "title": "TenantsResponse",
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Step 2 \u2014 List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.)\nExamples: Google Analytics, Facebook Ads, vioma, Booking.com.\nReturns each data source's 'id', 'displayName', and 'semantic_context_id'.\n\u2192 Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics.",
                "inputSchema": {
                  "properties": {
                    "tenant_id": {
                      "description": "Tenant ID obtained from list_tenants.",
                      "title": "Tenant Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "tenant_id"
                  ],
                  "title": "list_data_sourcesArguments",
                  "type": "object"
                },
                "name": "list_data_sources",
                "outputSchema": {
                  "$defs": {
                    "DataSourceSummary": {
                      "description": "Lightweight projection of a data source (data product).",
                      "properties": {
                        "displayName": {
                          "title": "Displayname",
                          "type": "string"
                        },
                        "id": {
                          "title": "Id",
                          "type": "string"
                        },
                        "semanticContextId": {
                          "title": "Semanticcontextid",
                          "type": "string"
                        }
                      },
                      "required": [
                        "id",
                        "semanticContextId",
                        "displayName"
                      ],
                      "title": "DataSourceSummary",
                      "type": "object"
                    }
                  },
                  "description": "Response wrapper for listing data sources.",
                  "properties": {
                    "data_sources": {
                      "items": {
                        "$ref": "#/$defs/DataSourceSummary"
                      },
                      "title": "Data Sources",
                      "type": "array"
                    }
                  },
                  "title": "DataSourcesResponse",
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Step 3 \u2014 List metrics and their dimensions for a data source. (In the Indicate system a metric is called a 'data cube'.)\nEach metric includes its dimensions; every dimension has a 'scope' that is either 'perspective' or 'group'.\n\u2192 Pass the metric 'id' as 'metric_id' to query_metric.\n\u2192 Pass dimension IDs with scope='perspective' as 'perspective_dimension_id' and scope='group' as 'group_dimension_id' to query_metric.",
                "inputSchema": {
                  "properties": {
                    "data_source_id": {
                      "description": "Data source ID from list_data_sources.",
                      "title": "Data Source Id",
                      "type": "string"
                    },
                    "semantic_context_id": {
                      "description": "Bounded context ID from the 'semantic_context_id' field in the list_data_sources response.",
                      "title": "Semantic Context Id",
                      "type": "string"
                    },
                    "tenant_id": {
                      "description": "Tenant ID from list_tenants.",
                      "title": "Tenant Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "tenant_id",
                    "data_source_id",
                    "semantic_context_id"
                  ],
                  "title": "list_metricsArguments",
                  "type": "object"
                },
                "name": "list_metrics",
                "outputSchema": {
                  "$defs": {
                    "Dimension": {
                      "description": "A dimension that can be applied to a metric.",
                      "properties": {
                        "displayName": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": "",
                          "title": "Displayname"
                        },
                        "id": {
                          "title": "Id",
                          "type": "string"
                        },
                        "scope": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": "",
                          "description": "Either 'perspective' or 'group'. Pass perspective-scoped dimension IDs as perspective_dimension_id and group-scoped dimension IDs as group_dimension_id when calling query_metric.",
                          "title": "Scope"
                        },
                        "semanticContextId": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": null,
                          "title": "Semanticcontextid"
                        },
                        "semanticType": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": "",
                          "title": "Semantictype"
                        }
                      },
                      "required": [
                        "id"
                      ],
                      "title": "Dimension",
                      "type": "object"
                    },
                    "Metric": {
                      "description": "A single metric definition (mapped from API 'data cube').",
                      "properties": {
                        "displayName": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": "",
                          "title": "Displayname"
                        },
                        "id": {
                          "title": "Id",
                          "type": "string"
                        },
                        "semanticContextId": {
                          "anyOf": [
                            {
                              "type": "string"
                            },
                            {
                              "type": "null"
                            }
                          ],
                          "default": null,
                          "title": "Semanticcontextid"
                        }
                      },
                      "required": [
                        "id"
                      ],
                      "title": "Metric",
                      "type": "object"
                    },
                    "MetricWithDimensions": {
                      "description": "A metric together with its available dimensions.",
                      "properties": {
                        "dimensions": {
                          "items": {
                            "$ref": "#/$defs/Dimension"
                          },
                          "title": "Dimensions",
                          "type": "array"
                        },
                        "metric": {
                          "$ref": "#/$defs/Metric"
                        }
                      },
                      "required": [
                        "metric",
                        "dimensions"
                      ],
                      "title": "MetricWithDimensions",
                      "type": "object"
                    }
                  },
                  "description": "Response wrapper for listing metrics with dimensions.",
                  "properties": {
                    "metrics": {
                      "items": {
                        "$ref": "#/$defs/MetricWithDimensions"
                      },
                      "title": "Metrics",
                      "type": "array"
                    }
                  },
                  "title": "MetricsResponse",
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Step 4 \u2014 Fetch time-series data for a specific metric. All IDs are obtained from the previous steps in the workflow.\nOptionally filter by date range (YYYY-MM-DD). Returns daily-granularity data points.",
                "inputSchema": {
                  "properties": {
                    "data_source_id": {
                      "description": "Data source ID from list_data_sources.",
                      "title": "Data Source Id",
                      "type": "string"
                    },
                    "end_date": {
                      "anyOf": [
                        {
                          "type": "string"
                        },
                        {
                          "type": "null"
                        }
                      ],
                      "default": null,
                      "description": "End date in YYYY-MM-DD format. Optional \u2014 omit for all available data.",
                      "title": "End Date"
                    },
                    "group_dimension_id": {
                      "description": "Dimension ID where scope='group', from the dimensions array in the list_metrics response.",
                      "title": "Group Dimension Id",
                      "type": "string"
                    },
                    "metric_id": {
                      "description": "Metric ID from list_metrics (the 'id' field of a metric object).",
                      "title": "Metric Id",
                      "type": "string"
                    },
                    "perspective_dimension_id": {
                      "description": "Dimension ID where scope='perspective', from the dimensions array in the list_metrics response.",
                      "title": "Perspective Dimension Id",
                      "type": "string"
                    },
                    "semantic_context_id": {
                      "anyOf": [
                        {
                          "type": "string"
                        },
                        {
                          "type": "null"
                        }
                      ],
                      "default": null,
                      "description": "Bounded context ID (for reference / logging).",
                      "title": "Semantic Context Id"
                    },
                    "start_date": {
                      "anyOf": [
                        {
                          "type": "string"
                        },
                        {
                          "type": "null"
                        }
                      ],
                      "default": null,
                      "description": "Start date in YYYY-MM-DD format. Optional \u2014 omit for all available data.",
                      "title": "Start Date"
                    },
                    "tenant_id": {
                      "description": "Tenant ID from list_tenants.",
                      "title": "Tenant Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "tenant_id",
                    "data_source_id",
                    "metric_id",
                    "perspective_dimension_id",
                    "group_dimension_id"
                  ],
                  "title": "query_metricArguments",
                  "type": "object"
                },
                "name": "query_metric",
                "outputSchema": {
                  "properties": {
                    "result": {
                      "title": "Result",
                      "type": "string"
                    }
                  },
                  "required": [
                    "result"
                  ],
                  "title": "query_metricOutput",
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Check connectivity to the Indicate backend. Returns 'ok' if the server can reach the API, or an error message otherwise. Does not require authentication.",
                "inputSchema": {
                  "properties": {},
                  "title": "health_checkArguments",
                  "type": "object"
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                "name": "health_check",
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                    "result": {
                      "title": "Result",
                      "type": "string"
                    }
                  },
                  "required": [
                    "result"
                  ],
                  "title": "health_checkOutput",
                  "type": "object"
                }
              }
            ]
          }
        },
        "url": "https://industry.indicate-data.io/agent/semantic/mcp"
      },
      "latency_ms": 304.55,
      "status": "ok"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json"
        },
        "bad_protocol_payload": {
          "error": {
            "code": -32600,
            "message": "Bad Request: Unsupported protocol version: 1999-99-99. Supported versions: 2024-11-05, 2025-03-26, 2025-06-18, 2025-11-25"
          },
          "id": "server-error",
          "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",
          "missing_protocol_header"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": false,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": false,
        "transport": "streamable-http"
      },
      "latency_ms": 289.6,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": false,
          "live_probe": "not_executed",
          "sample_target": {
            "argument_name": "topic",
            "name": "analyze_metric",
            "type": "prompt"
          }
        },
        "initialize_capability_keys": [
          "experimental",
          "prompts",
          "resources",
          "tools"
        ],
        "pagination": {
          "metadata_signal": false,
          "next_cursor_methods": [],
          "supported": false
        },
        "tasks": {
          "advertised": false,
          "http_status": 200,
          "probe_status": "missing"
        }
      },
      "latency_ms": 101.27,
      "status": "missing"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://industry.indicate-data.io/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://industry.indicate-data.io/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    },
    "server_card": {
      "error": "Client error '404 Not Found' for url 'https://industry.indicate-data.io/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://industry.indicate-data.io/.well-known/mcp/server-card.json"
    }
  },
  "remote_url": "https://industry.indicate-data.io/agent/semantic/mcp",
  "server_card_payload": null,
  "server_identifier": "io.github.indicateio/indicate-mcp"
}