ai.fluxink/fci-mcp

{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": false,
        "confirmation_signals": [
          "fluxink-mcp-chatgpt-create-layout"
        ],
        "safeguard_count": 0,
        "summary": {
          "bulk_access_tools": 0,
          "capability_distribution": {
            "admin": 6,
            "delete": 1,
            "exec": 1,
            "filesystem": 4,
            "network": 4,
            "read": 6,
            "write": 5
          },
          "destructive_tools": 1,
          "egress_tools": 0,
          "exec_tools": 1,
          "high_risk_tools": 1,
          "risk_distribution": {
            "critical": 1,
            "high": 0,
            "low": 0,
            "medium": 5
          },
          "secret_tools": 0,
          "tool_count": 6
        }
      },
      "latency_ms": null,
      "status": "error"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": true,
          "elicitation": false,
          "prompts": true,
          "resource_links": true,
          "resources": true,
          "roots": false,
          "sampling": false,
          "structured_outputs": true
        },
        "enabled": [
          "completions",
          "prompts",
          "resource_links",
          "resources",
          "structured_outputs"
        ],
        "enabled_count": 5,
        "initialize_capability_keys": [
          "completions",
          "experimental",
          "logging",
          "prompts",
          "resources",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "ok"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "action_safety",
          "server_card"
        ],
        "criteria": {
          "action_safety": false,
          "auth_flow": true,
          "connector_replay": true,
          "initialize": true,
          "protocol_version": true,
          "remote_transport": true,
          "request_association": true,
          "server_card": false,
          "session_resume": true,
          "step_up_auth": true,
          "tool_surface": true,
          "tools_list": true,
          "transport_compliance": true
        },
        "high_risk_tools": 1,
        "tool_count": 6,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_replay_probe": {
      "details": {
        "added_tools": [],
        "additive_output_changes": [],
        "backward_compatible": true,
        "output_breaks": [],
        "removed_tools": [],
        "required_arg_breaks": [],
        "would_break_after_refresh": false
      },
      "latency_ms": null,
      "status": "ok"
    },
    "determinism_probe": {
      "details": {
        "attempts": 2,
        "baseline_signature": "786649053fe210e95883cc927669dd031042ea9a82a5f00464922d4cf36900e2",
        "errors": [],
        "matches": 2,
        "stable_ratio": 1.0,
        "successful": 2
      },
      "latency_ms": 283.87,
      "status": "ok"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "completions": {},
              "experimental": {},
              "logging": {},
              "prompts": {
                "listChanged": false
              },
              "resources": {
                "listChanged": false,
                "subscribe": false
              },
              "tools": {
                "listChanged": false
              }
            },
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "mcp-streamable-http",
              "version": "1.28.1"
            }
          }
        },
        "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
      },
      "latency_ms": 913.83,
      "status": "ok"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": false,
        "prompt_available": false,
        "risk_hits": [],
        "safe_hits": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_authorization_server": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_protected_resource": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://mcp.fluxink.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://mcp.fluxink.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 499.55,
      "status": "error"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.fluxink/fci-mcp",
        "registry_source": "official_registry"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "openid_configuration": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 404,
        "url": "https://mcp.fluxink.ai/robots.txt"
      },
      "latency_ms": 258.0,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "prompts_list": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 3,
          "jsonrpc": "2.0",
          "result": {
            "prompts": []
          }
        },
        "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
      },
      "latency_ms": 265.87,
      "status": "ok"
    },
    "protocol_version_probe": {
      "details": {
        "claimed_version": "2025-03-26",
        "lag_days": 244,
        "latest_known_version": "2025-11-25",
        "releases_behind": 2,
        "validator_protocol_version": "2025-03-26"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "provenance_divergence_probe": {
      "details": {
        "direct_official_match": true,
        "drift_fields": [],
        "metadata_document_count": 1,
        "registry_homepage": null,
        "registry_repository": null,
        "registry_title": null,
        "registry_version": null,
        "server_card_homepage": null,
        "server_card_repository": null,
        "server_card_title": null,
        "server_card_version": null
      },
      "latency_ms": null,
      "status": "ok"
    },
    "request_association_probe": {
      "details": {
        "reason": "no_request_association_capabilities_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "resource_read": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 6,
          "jsonrpc": "2.0",
          "result": {
            "contents": [
              {
                "_meta": {
                  "openai/widgetCSP": {
                    "connect_domains": [
                      "https://chatgpt.com",
                      "https://*.fluxink.ai",
                      "https://mcp.fluxink.ai"
                    ],
                    "resource_domains": [
                      "https://*.oaistatic.com",
                      "https://mcp.fluxink.ai"
                    ]
                  },
                  "openai/widgetDescription": "Interactive FluxInk canvas for hand-drawn text, math, chemical formulas, and molecular structures.",
                  "openai/widgetPrefersBorder": false,
                  "ui": {
                    "csp": {
                      "connectDomains": [
                        "https://chatgpt.com",
                        "https://*.fluxink.ai",
                        "https://mcp.fluxink.ai"
                      ],
                      "resourceDomains": [
                        "https://*.oaistatic.com",
                        "https://mcp.fluxink.ai"
                      ]
                    },
                    "domain": "https://fluxink.ai",
                    "prefersBorder": false
                  }
                },
                "mimeType": "text/html;profile=mcp-app",
                "text": "<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n  <meta charset=\"UTF-8\">\n  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no\">\n  <meta name=\"api-base-url\" content=\"https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b\">\n  <title>FluxInk Handwriting Canvas</title>\n  <script>\n    (function () {\n      var meta = document.querySelector('meta[name=\"api-base-url\"]');\n      var apiBaseUrl = (meta && meta.getAttribute(\"content\")) || window.location.origin;\n      var isIPadLike = /iPad/i.test(navigator.userAgent) || (/Macintosh/i.test(navigator.userAgent) && (navigator.maxTouchPoints || 0) > 1);\n      window.__FLUXINK_WIDGET__ = \"hwr\";\n      window.__FLUXINK_EMBED__ = \"chatgpt\";\n      window.__FLUXINK_BACKEND_TRANSPORT__ = \"http-first\";\n      var normalizedApiBaseUrl = apiBaseUrl.replace(/\\/$/, \"\");\n      window.__FLUXINK_API_BASE_URL = normalizedApiBaseUrl;\n      window.EXCALIDRAW_ASSET_PATH = normalizedApiBaseUrl + \"/assets/\";\n\n      function applyHostClasses() {\n        if (!isIPadLike) {\n          return;\n        }\n        document.documentElement.classList.add(\"fluxink-ipad-chatgpt-host\");\n        if (document.body) {\n          document.body.classList.add(\"fluxink-ipad-chatgpt-host\");\n        }\n      }\n\n      applyHostClasses();\n      if (document.readyState === \"loading\") {\n        document.addEventListener(\"DOMContentLoaded\", applyHostClasses, { once: true });\n      } else {\n        applyHostClasses();\n      }\n    })();\n  </script>\n  <link rel=\"stylesheet\" href=\"https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/assets/style.css?v=chatgpt-external-assets-20260622-3\">\n  <style>\nhtml.fluxink-ipad-chatgpt-host body[data-display-mode=\"fullscreen\"] .hwr-widget__topbar--fullscreen,\nbody.fluxink-ipad-chatgpt-host[data-display-mode=\"fullscreen\"] .hwr-widget__topbar--fullscreen,\nbody[data-display-mode=\"fullscreen\"] .hwr-widget--ipad-chatgpt .hwr-widget__topbar--fullscreen {\n  right: max(16px, env(safe-area-inset-right, 0px)) !important;\n}\n\nhtml.fluxink-ipad-chatgpt-host body[data-display-mode=\"fullscreen\"] .hwr-widget--fullscreen-top-controls .hwr-widget__footer-stack,\nbody.fluxink-ipad-chatgpt-host[data-display-mode=\"fullscreen\"] .hwr-widget--fullscreen-top-controls .hwr-widget__footer-stack,\nbody[data-display-mode=\"fullscreen\"] .hwr-widget--ipad-chatgpt.hwr-widget--fullscreen-top-controls .hwr-widget__footer-stack {\n  right: max(20px, env(safe-area-inset-right, 0px)) !important;\n  left: max(20px, env(safe-area-inset-left, 0px)) !important;\n}\n  </style>\n</head>\n<body>\n  <div id=\"root\"></div>\n  <script type=\"module\" src=\"https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/assets/index.js?v=chatgpt-external-assets-20260622-3\"></script>\n</body>\n</html>\n",
                "uri": "ui://widget/hwr-widget.html"
              }
            ]
          }
        },
        "resource_uri": "ui://widget/hwr-widget.html",
        "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
      },
      "latency_ms": 326.04,
      "status": "ok"
    },
    "resources_list": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 5,
          "jsonrpc": "2.0",
          "result": {
            "resources": [
              {
                "_meta": {
                  "openai/widgetCSP": {
                    "connect_domains": [
                      "https://chatgpt.com",
                      "https://*.fluxink.ai",
                      "https://mcp.fluxink.ai"
                    ],
                    "resource_domains": [
                      "https://*.oaistatic.com",
                      "https://mcp.fluxink.ai"
                    ]
                  },
                  "openai/widgetDescription": "Interactive FluxInk canvas for hand-drawn text, math, chemical formulas, and molecular structures.",
                  "openai/widgetPrefersBorder": false,
                  "ui": {
                    "csp": {
                      "connectDomains": [
                        "https://chatgpt.com",
                        "https://*.fluxink.ai",
                        "https://mcp.fluxink.ai"
                      ],
                      "resourceDomains": [
                        "https://*.oaistatic.com",
                        "https://mcp.fluxink.ai"
                      ]
                    },
                    "domain": "https://fluxink.ai",
                    "prefersBorder": false
                  }
                },
                "description": "Interactive FluxInk canvas. Draw freehand strokes and convert them to typed text, LaTeX math, LaTeX chemistry, or SMILES molecular structures.",
                "mimeType": "text/html;profile=mcp-app",
                "name": "hwr-widget",
                "uri": "ui://widget/hwr-widget.html"
              },
              {
                "_meta": {
                  "openai/widgetCSP": {
                    "connect_domains": [
                      "https://chatgpt.com",
                      "https://*.blob.core.windows.net",
                      "https://*.fluxink.ai"
                    ],
                    "resource_domains": [
                      "https://*.oaistatic.com",
                      "https://cdn.jsdelivr.net",
                      "https://*.blob.core.windows.net"
                    ]
                  },
                  "openai/widgetDescription": "Embedded PDF viewer for FluxInk-generated study / meeting / Cornell / SQ3R / 5W1H / Zettelkasten / PSO document layouts.",
                  "openai/widgetPrefersBorder": false,
                  "ui": {
                    "csp": {
                      "connectDomains": [
                        "https://chatgpt.com",
                        "https://*.blob.core.windows.net",
                        "https://*.fluxink.ai"
                      ],
                      "resourceDomains": [
                        "https://*.oaistatic.com",
                        "https://cdn.jsdelivr.net",
                        "https://*.blob.core.windows.net"
                      ]
                    },
                    "domain": "https://fluxink.ai",
                    "prefersBorder": false
                  }
                },
                "description": "Embedded PDF viewer for FluxInk generated study, meeting, Cornell, SQ3R, 5W1H, Zettelkasten, bullet points, and PSO document layouts.",
                "mimeType": "text/html;profile=mcp-app",
                "name": "autodesign-widget",
                "uri": "ui://widget/autodesign.html"
              },
              {
                "_meta": {
                  "openai/widgetCSP": {
                    "connect_domains": [
                      "https://chatgpt.com",
                      "https://*.blob.core.windows.net",
                      "https://*.fluxink.ai",
                      "https://mcp.fluxink.ai"
                    ],
                    "resource_domains": [
                      "https://*.oaistatic.com",
                      "https://*.blob.core.windows.net",
                      "https://mcp.fluxink.ai"
                    ]
                  },
                  "openai/widgetDescription": "FluxInk personal-handwriting style capture canvas: draw a few sample characters, then render any text in that exact handwriting style.",
                  "openai/widgetPrefersBorder": false,
                  "ui": {
                    "csp": {
                      "connectDomains": [
                        "https://chatgpt.com",
                        "https://*.blob.core.windows.net",
                        "https://*.fluxink.ai",
                        "https://mcp.fluxink.ai"
                      ],
                      "resourceDomains": [
                        "https://*.oaistatic.com",
                        "https://*.blob.core.windows.net",
                        "https://mcp.fluxink.ai"
                      ]
                    },
                    "domain": "https://fluxink.ai",
                    "prefersBorder": false
                  }
                },
                "description": "FluxInk natural texture ink style capture canvas. Draw a few sample characters to capture a personal handwriting style, then render any text in that style.",
                "mimeType": "text/html;profile=mcp-app",
                "name": "nti-widget",
                "uri": "ui://widget/nti-widget.html"
              }
            ]
          }
        },
        "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
      },
      "latency_ms": 265.29,
      "status": "ok"
    },
    "server_card": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://mcp.fluxink.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://mcp.fluxink.ai/.well-known/mcp/server-card.json"
      },
      "latency_ms": 1079.44,
      "status": "error"
    },
    "session_resume_probe": {
      "details": {
        "protocol_version": "2025-03-26",
        "reason": "no_session_id",
        "resume_expected": true,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "step_up_auth_probe": {
      "details": {
        "auth_required_checks": [],
        "broad_scopes": [],
        "challenge_headers": [],
        "minimal_scope_documented": false,
        "oauth_present": false,
        "scope_specificity_ratio": 0.0,
        "step_up_signals": [],
        "supported_scopes": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tool_snapshot_probe": {
      "details": {
        "added": [],
        "changed_outputs": [],
        "current_tool_count": 6,
        "previous_tool_count": 6,
        "removed": [],
        "similarity": 1.0
      },
      "latency_ms": null,
      "status": "ok"
    },
    "tools_list": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 2,
          "jsonrpc": "2.0",
          "result": {
            "tools": [
              {
                "_meta": {
                  "openai/toolInvocation/invoked": "Handwriting ready",
                  "openai/toolInvocation/invoking": "Generating handwriting...",
                  "openai/visibility": "private",
                  "openai/widgetAccessible": true
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Internal FluxInk natural texture ink execution endpoint. Invoked ONLY by the style canvas widget when the user clicks Generate. Do NOT call this tool directly from chat. To render text in the personal handwriting style of the user, call show_style_canvas instead. This endpoint requires JSON encoded style strokes captured by the widget.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "cell_size": {
                      "default": 128,
                      "description": "Character cell size in pixels.",
                      "type": "number"
                    },
                    "legibility": {
                      "default": 1,
                      "description": "Legibility level (0.0 to 2.0).",
                      "type": "number"
                    },
                    "stroke_width": {
                      "default": 3.5,
                      "description": "Output stroke width (1.0 to 15.0).",
                      "type": "number"
                    },
                    "style_strokes": {
                      "description": "JSON encoded array of style strokes captured from the canvas.",
                      "type": "string"
                    },
                    "style_text": {
                      "description": "Text the user actually wrote as the style sample (for accurate style conditioning). If omitted, the backend auto recognises via handwriting recognition.",
                      "type": "string"
                    },
                    "text": {
                      "description": "Text to synthesize in the captured handwriting style.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text",
                    "style_strokes"
                  ],
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-synthesize-handwriting-style",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "charCount": {
                      "type": "number"
                    },
                    "error": {
                      "type": "string"
                    },
                    "imageBase64": {
                      "type": "string"
                    },
                    "inferenceTimeMs": {
                      "type": "number"
                    },
                    "success": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "success"
                  ],
                  "type": "object"
                }
              },
              {
                "_meta": {
                  "openai/fileParams": [
                    "image"
                  ]
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "FluxInk image text recognition. Extract text from an EXISTING image (file upload, URL, or base64) the user provides. Higher accuracy than built in vision for tightly packed text, multi language documents, math, and LaTeX. Returns per region confidence and detection coordinates.\n\nUse this when the user uploads, attaches, or shares an image containing text they want extracted (screenshot, photo, scanned document, receipt, sign, whiteboard, book page, photographed handwritten notes). Use this when the user wants a photographed math expression or chemistry formula converted to LaTeX. Use this when the user references an image and asks to read, transcribe, or digitize the text in it.\n\nDo NOT use this when the user has NOT provided an image yet. Do NOT use this when the user wants to draw or handwrite something fresh (call show_handwriting_canvas instead). Do NOT use this when the request is a plain text question, summary, or explanation with no image attached.\n\nThe language parameter selects the recognition mode. en is English text (default). zh is Chinese text. paddle is multilingual or mixed text. formula is mathematics. latex returns raw LaTeX markup. After returning results, present the extracted text clearly and offer follow up actions like translation, summarization, or editing.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "image": {
                      "anyOf": [
                        {
                          "additionalProperties": false,
                          "properties": {
                            "download_url": {
                              "description": "URL to download the image.",
                              "type": "string"
                            },
                            "file_id": {
                              "description": "ChatGPT file ID.",
                              "type": "string"
                            }
                          },
                          "required": [
                            "download_url",
                            "file_id"
                          ],
                          "type": "object"
                        },
                        {
                          "description": "Direct URL or base64 data URI of the image.",
                          "type": "string"
                        }
                      ],
                      "description": "Image to recognize text from. Pass an image from the conversation."
                    },
                    "language": {
                      "default": "en",
                      "description": "Recognition mode. Allowed values. en (English text). zh (Chinese text). paddle (multilingual mixed text). formula (mathematics with LaTeX output). latex (return raw LaTeX markup).",
                      "enum": [
                        "en",
                        "zh",
                        "paddle",
                        "formula",
                        "latex"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "image"
                  ],
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-recognize-image",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "detection_count": {
                      "type": "number"
                    },
                    "error": {
                      "type": "string"
                    },
                    "full_text": {
                      "type": "string"
                    },
                    "language": {
                      "enum": [
                        "en",
                        "zh",
                        "paddle",
                        "formula",
                        "latex"
                      ],
                      "type": "string"
                    },
                    "results": {
                      "items": {
                        "additionalProperties": {},
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "success": {
                      "type": "boolean"
                    },
                    "total_time_ms": {
                      "type": "number"
                    }
                  },
                  "required": [
                    "success"
                  ],
                  "type": "object"
                }
              },
              {
                "_meta": {
                  "openai/toolInvocation/invoked": "Recognition ready",
                  "openai/toolInvocation/invoking": "Recognizing handwriting...",
                  "openai/visibility": "private",
                  "openai/widgetAccessible": true
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Internal FluxInk handwriting recognition execution endpoint. Invoked ONLY by the handwriting canvas widget when the user finishes drawing. Do NOT call this tool directly from chat. To capture handwriting from the user, call show_handwriting_canvas instead. This endpoint requires a JSON stroke payload that only the widget can produce.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "language": {
                      "description": "Optional language hint for text mode.",
                      "type": "string"
                    },
                    "mode": {
                      "default": "general",
                      "description": "Widget-internal recognition family. Preferred values are general or structure; legacy text, math, and chemical values are accepted for existing widget compatibility.",
                      "type": "string"
                    },
                    "strokes": {
                      "description": "JSON encoded array of strokes captured by the widget. Each stroke is an object with x, y, t arrays.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "strokes"
                  ],
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-recognize-handwriting",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "error": {
                      "type": "string"
                    },
                    "result": {},
                    "success": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "success"
                  ],
                  "type": "object"
                }
              },
              {
                "_meta": {
                  "openai/outputTemplate": "ui://widget/hwr-widget.html",
                  "openai/toolInvocation/invoked": "Canvas ready",
                  "openai/toolInvocation/invoking": "Opening handwriting canvas...",
                  "openai/widgetAccessible": true,
                  "ui": {
                    "resourceUri": "ui://widget/hwr-widget.html",
                    "visibility": [
                      "model",
                      "app"
                    ]
                  }
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Open the FluxInk handwriting recognition canvas. The user draws freehand strokes with a stylus, finger, or mouse. The strokes are converted by one of two model families: general recognition for handwriting, math, and chemical formulas, or structure recognition for molecular structures.\n\nUse this when the user asks to handwrite, draw, sketch, ink, scribble, or scrawl something. Use this when the user wants to draw a math equation, chemical formula, or molecular structure rather than type it. Use this when the user asks for a canvas, drawing pad, handwriting input box, or whiteboard. Use this when the user wants to convert stylus or finger drawings into recognized text or markup.\n\nDo NOT use this when the user types a question, equation, or formula in chat and just wants an answer. Do NOT use this when the user uploads or references an existing image of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document, study sheet, or layout PDF (call create_layout instead). Do NOT use this when the user wants text rendered in a personal handwriting style (call show_style_canvas instead). Do NOT use this for conversational or informational requests that need no ink input.\n\nDo NOT re-open if a FluxInk handwriting canvas is already visible from any earlier turn. Instead instruct the user to keep drawing on the existing canvas. Only set force_new=true when the user explicitly asks for a brand new, fresh, or blank canvas.\n\nAlways pass the original chat message in the prompt parameter so context is preserved after recognition. After calling, write a single short acknowledgement and do NOT describe the canvas UI.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "force_new": {
                      "default": false,
                      "description": "Set true ONLY when the user explicitly asks for a brand-new canvas. Otherwise leave false so a previously opened canvas is reused.",
                      "type": "boolean"
                    },
                    "language": {
                      "description": "Optional language hint for text mode. Omit to use the mixed-language model default.",
                      "type": "string"
                    },
                    "mode": {
                      "default": "general",
                      "description": "Recognition family for the canvas. Use general for text, math, and chemical formulas; use structure only for molecular structures.",
                      "enum": [
                        "general",
                        "structure"
                      ],
                      "type": "string"
                    },
                    "prompt": {
                      "description": "The original chat message that triggered the canvas. Passed through to the follow-up message after recognition.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-show-handwriting-canvas",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "message": {
                      "type": "string"
                    },
                    "mode": {
                      "enum": [
                        "general",
                        "structure"
                      ],
                      "type": "string"
                    },
                    "prompt": {
                      "type": "string"
                    },
                    "reuse": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "mode",
                    "prompt",
                    "message"
                  ],
                  "type": "object"
                }
              },
              {
                "_meta": {
                  "openai/toolInvocation/invoked": "Layout ready",
                  "openai/toolInvocation/invoking": "Generating layout...",
                  "ui": {
                    "resourceUri": "ui://widget/autodesign.html",
                    "visibility": [
                      "model",
                      "app"
                    ]
                  }
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "FluxInk document layout generator. Transform raw text content into a structured PDF using one of seven study or work templates, then preview it in an embedded PDF viewer widget.\n\nSupported layout_type values. cornell is the Cornell note taking layout with cue, notes, and summary. bullet_points is a clean bulleted summary. zettelkasten is atomic linked notes. journalism_5w1h is who, what, when, where, why, and how. meeting_add is a meeting agenda plus action items. sq3r is Survey, Question, Read, Recite, Review study notes. pso is Problem, Solution, Outcome.\n\nUse this when the user asks for a Cornell sheet, bulleted summary, Zettelkasten card, 5W1H breakdown, meeting agenda or minutes, SQ3R study sheet, or PSO writeup. Use this when the user wants to turn raw notes, lecture transcript, or source material into a printable PDF or formatted study sheet. Use this when the user asks for a downloadable PDF document of their content.\n\nDo NOT use this when the user just asks for a plain summary in chat. Give it inline. Do NOT use this when the user wants to handwrite or draw something. Call show_handwriting_canvas instead. Do NOT use this when the user wants text in a personal handwriting style. Call show_style_canvas instead. Do NOT use this for plain informational requests with no document generation intent.\n\nAlways pass the source material verbatim in the content parameter. Do NOT pre summarize. The layout engine handles structuring. Pick the layout_type that best matches the stated purpose. If unclear, ask one short clarifying question instead of guessing.\n\nDo NOT re-call if a layout PDF is already visible from a previous turn unless the user explicitly asks for a different layout, different content, or a regeneration. After calling, write a single short acknowledgement and do NOT restate the PDF content.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "description": "The raw educational or note content to transform into a structured layout. Pass the full text. The backend will analyze, structure, and render it.",
                      "type": "string"
                    },
                    "layout_type": {
                      "description": "Layout template to render. Allowed values. cornell (Cornell note taking layout with cue, notes, and summary). bullet_points (clean bulleted summary). zettelkasten (atomic linked notes). journalism_5w1h (who, what, when, where, why, how). meeting_add (meeting agenda plus action items). sq3r (Survey, Question, Read, Recite, Review study notes). pso (Problem, Solution, Outcome).",
                      "enum": [
                        "cornell",
                        "bullet_points",
                        "zettelkasten",
                        "journalism_5w1h",
                        "meeting_add",
                        "sq3r",
                        "pso"
                      ],
                      "type": "string"
                    },
                    "title": {
                      "description": "Optional title for the document. If omitted, the backend generates one.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "content",
                    "layout_type"
                  ],
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-create-layout",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "error": {
                      "type": "string"
                    },
                    "layout_type": {
                      "enum": [
                        "cornell",
                        "bullet_points",
                        "zettelkasten",
                        "journalism_5w1h",
                        "meeting_add",
                        "sq3r",
                        "pso"
                      ],
                      "type": "string"
                    },
                    "success": {
                      "type": "boolean"
                    },
                    "title": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "success"
                  ],
                  "type": "object"
                }
              },
              {
                "_meta": {
                  "openai/outputTemplate": "ui://widget/nti-widget.html",
                  "openai/toolInvocation/invoked": "Canvas ready",
                  "openai/toolInvocation/invoking": "Opening style capture canvas...",
                  "openai/widgetAccessible": true,
                  "ui": {
                    "resourceUri": "ui://widget/nti-widget.html",
                    "visibility": [
                      "model",
                      "app"
                    ]
                  }
                },
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Open the FluxInk natural texture ink style capture canvas. The user draws a few sample characters in a personal handwriting style. The widget then renders the requested text as a PNG spritesheet IN THAT EXACT PERSONAL HANDWRITING STYLE. Output is a downloadable spritesheet of individual handwritten glyphs that can be used as an asset (for example with image generation).\n\nUse this when the user asks to render or generate text in a personal handwriting style. Use this when the user wants a personalized handwritten note, card, letter, invitation, journal entry, or signature line that should look hand written by the user. Use this when the user wants to capture, clone, or sample a personal handwriting style and reuse it.\n\nDo NOT use this when the user just wants handwriting recognized (call show_handwriting_canvas instead). Do NOT use this for generic decorative handwritten fonts, calligraphy art, or AI generated script unrelated to the personal writing of the user. Do NOT use this to read text from an existing photo of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document or layout (call create_layout instead). Do NOT use this for plain informational requests.\n\nSupports English and Chinese. Always pass the COMPLETE target text in the text parameter. Never truncate or abbreviate. Every character must appear in the spritesheet.\n\nDo NOT re-open if a FluxInk natural texture ink canvas is already visible from any earlier turn. Instead instruct the user to update the target text inside the existing widget. Only set force_new=true on an explicit user request for a brand new style canvas.\n\nAfter calling, write a single short acknowledgement and do NOT describe the UI. Once the user saves the spritesheet they can re-upload it for further design work.",
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "force_new": {
                      "default": false,
                      "description": "Set true ONLY when the user explicitly asks for a brand-new style canvas. Otherwise leave false so a previously opened canvas is reused.",
                      "type": "boolean"
                    },
                    "text": {
                      "description": "The COMPLETE text to render as natural texture ink handwriting. Pass the FULL text. Never truncate or abbreviate. Supports English and Chinese.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
                },
                "name": "fluxink-mcp-chatgpt-show-style-canvas",
                "outputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "message": {
                      "type": "string"
                    },
                    "reuse": {
                      "type": "boolean"
                    },
                    "text": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "text",
                    "message"
                  ],
                  "type": "object"
                }
              }
            ]
          }
        },
        "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
      },
      "latency_ms": 275.28,
      "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": 258.95,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": true,
          "live_probe": "not_executed",
          "sample_target": {
            "type": "resource",
            "uri": "ui://widget/hwr-widget.html"
          }
        },
        "initialize_capability_keys": [
          "completions",
          "experimental",
          "logging",
          "prompts",
          "resources",
          "tools"
        ],
        "pagination": {
          "metadata_signal": false,
          "next_cursor_methods": [],
          "supported": false
        },
        "tasks": {
          "advertised": false,
          "http_status": 200,
          "probe_status": "missing"
        }
      },
      "latency_ms": 261.25,
      "status": "warning"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://mcp.fluxink.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://mcp.fluxink.ai/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    },
    "server_card": {
      "error": "Client error '404 Not Found' for url 'https://mcp.fluxink.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://mcp.fluxink.ai/.well-known/mcp/server-card.json"
    }
  },
  "remote_url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp",
  "server_card_payload": null,
  "server_identifier": "ai.fluxink/fci-mcp"
}