docs-mcp

Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.

Document & Content Productivity & Workflow

Sollte ich dies verwenden

Qualität der Beschreibung

86%

Vollständigkeit des Schemas

92%

Qualität der Benennung

88%

Risiko der Vergiftung

100%

Übereinstimmung der Berechtigungen

100%

Einhaltung des Protokolls

100%

Befunde (4)

LOWTool 'refresh_docs_index' description lacks action verbin refresh_docs_index
LOWTool 'refresh_doc_page' description lacks action verbin refresh_doc_page
LOWTool 'compare_docs_index_refresh' description lacks action verbin compare_docs_index_refresh
LOWTool 'compare_doc_page_refresh' description lacks action verbin compare_doc_page_refresh

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,786Tokens (Tool-Definitionen)

~1.0 KBTypische Antwortgröße

Mittlere Auswirkung auf die Aufmerksamkeit (1.40% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Verfügbarkeit

100.0%Verfügbar

711msDurchschnittliche Latenz

vor 4 Min.Letzter Erfolg

Alle 10 Minuten geprüft. Anzeige der letzten 100 Stichproben.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "docs-mcp": {
      "url": "https://tandem.ac/mcp"
    }
  }
}

Remote-Endpunkte

https://tandem.ac/mcpstreamable-http

Was es kann

Tool-Inventar

Search the published Tandem docs index for relevant pages.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The Tandem question, task, or keyword query to search for."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable. Use next, refs/<sha>, or releases/<version> only when explicitly needed."
    },
    "engine_version": {
      "type": "string",
      "description": "Optional Tandem engine version hint. If supplied without docs_ref, the MCP still defaults to stable unless a matching versioned docs ref is configured."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "Maximum number of matching docs pages to return."
    },
    "audience": {
      "type": "string",
      "description": "Optional audience filter such as developer, desktop user, or operator."
    }
  },
  "required": [
    "query"
  ]
}

Fetch and normalize a published Tandem docs page by path or URL.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "path": {
      "type": "string",
      "description": "Docs path like /sdk/python/ or a full Tandem docs URL."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    },
    "engine_version": {
      "type": "string",
      "description": "Optional Tandem engine version hint for compatibility checks."
    }
  },
  "required": [
    "path"
  ]
}

Recommend the best Tandem docs starting path for a desktop user, server admin, or developer.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "role": {
      "type": "string",
      "enum": [
        "desktop",
        "server_admin",
        "developer"
      ],
      "description": "The user role to optimize the docs starting point for."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  },
  "required": [
    "role"
  ]
}

Recommend the next Tandem docs to read after a current page, optionally biased toward a goal.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "current_path": {
      "type": "string",
      "description": "Current Tandem docs path the user has already read."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    },
    "goal": {
      "type": "string",
      "description": "Optional goal such as install Tandem, use the Python SDK, or build workflows."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "Maximum number of next-doc recommendations to return."
    }
  },
  "required": [
    "current_path"
  ]
}

Answer how to install or use Tandem, build workflows, or use the SDKs by synthesizing relevant published docs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "description": "The Tandem task or question that needs a docs-grounded answer."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    },
    "engine_version": {
      "type": "string",
      "description": "Optional Tandem engine version hint. Prefer stable docs for installed engines."
    },
    "audience": {
      "type": "string",
      "description": "Optional audience hint such as developer, desktop user, or operator."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "Maximum number of supporting docs recommendations to include."
    }
  },
  "required": [
    "task"
  ]
}

Return a structured Tandem learning guide for install-engine, python-sdk, typescript-sdk, build-workflows, or headless-deploy.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "enum": [
        "install-engine",
        "python-sdk",
        "typescript-sdk",
        "build-workflows",
        "headless-deploy"
      ],
      "description": "Named Tandem learning guide to return."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  },
  "required": [
    "topic"
  ]
}

Refresh the docs index and preload the most important Tandem docs pages into cache.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "force_refresh": {
      "type": "boolean",
      "description": "Whether to bypass cache and force fresh upstream fetches first."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  }
}

Inspect the current docs cache state for index sources and warmed pages.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

Force-refresh docs indexes and report whether data came from the network, cache, or stale fallback.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "force_refresh": {
      "type": "boolean",
      "description": "Whether to bypass cache and force a network refresh attempt."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  }
}

Force-refresh a docs page and report whether content came from the network, cache, or stale fallback.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "path": {
      "type": "string",
      "description": "Docs path like /start-here/ or /sdk/python/ to refresh."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    },
    "force_refresh": {
      "type": "boolean",
      "description": "Whether to bypass cache and force a network refresh attempt."
    }
  },
  "required": [
    "path"
  ]
}

Invalidate docs cache entries for index data, all pages, or a specific page path.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "target": {
      "type": "string",
      "enum": [
        "all",
        "index",
        "pages",
        "page"
      ],
      "description": "Which cache area to invalidate."
    },
    "path": {
      "type": "string",
      "description": "Required when target is page; identifies the specific docs path to invalidate."
    },
    "docs_ref": {
      "type": "string",
      "description": "Optional docs ref to scope page/index cache invalidation."
    }
  }
}

Force-refresh the docs indexes and return before/after hashes so content changes can be proven.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  }
}

Force-refresh a docs page and return before/after hashes so page content changes can be proven.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "path": {
      "type": "string",
      "description": "Docs path like /start-here/ or /sdk/python/ to compare before and after refresh."
    },
    "docs_ref": {
      "type": "string",
      "description": "Docs channel or immutable ref. Defaults to stable."
    }
  },
  "required": [
    "path"
  ]
}

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