What documentation sources are available?
The server is currently set up for LangGraph Documentation and MCP Documentation, sourced from specific URLs.
@esakrissa
基本情報
Model Context Protocol documentation server for LangGraph and MCP.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-doc": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The MCP Documentation Server is a customized version of the MCP documentation server that enables integration between LLM applications (like Cursor, Claude Desktop, Windsurf) and documentation sources via the Model Context Protocol. It provides access to specific documentation files (langgraph.txt and mcp.txt) and tools to fetch documentation from URLs within those files.
Clone the repository, create a virtual environment, install the package in development mode (pip install -e .), then run the server using the installed command mcpdoc with a JSON config file and transport options (SSE or stdio). For IDE integration like Cursor, add a configuration to ~/.cursor/mcp.json using UV and set custom instructions to guide the LLM to use the server's tools.
The server is currently set up for LangGraph Documentation and MCP Documentation, sourced from specific URLs.
You can run the server using the `mcpdoc` command with a config file, transport (SSE or stdio), port, and host. Alternatively, you can use UV with the `uvx --from mcpdoc mcpdoc` command.
Add a configuration entry to `~/.cursor/mcp.json` and provide custom instructions in Cursor to call `list_doc_sources` and `fetch_docs` tools.
Strict domain access controls: remote documentation files allow only the specific domain by default; local files allow none. Use `--allowed-domains` to explicitly add domains or `*` to allow all.
This server is a modified version of the original mcpdoc by LangChain AI, customized to provide focused access to LangGraph and MCP documentation.

Model Context Protocol Servers
Memlord is a remote MCP server available at https://app.memlord.com.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

One permissioned folder your team and your AI agents both log into.
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