Provides access to LangGraph documentation, allowing retrieval of specific documentation files and fetching additional content from URLs within those files.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Documentation Serverexplain how to create a LangGraph state graph"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Documentation Server
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.
Overview
This server provides MCP host applications with:
Access to specific documentation files (langgraph.txt and mcp.txt)
Tools to fetch documentation from URLs within those files
Related MCP server: MCP LLMS-TXT Documentation Server
Supported Documentation
Currently set up for:
LangGraph Documentation (from https://raw.githubusercontent.com/esakrissa/mcp-doc/main/docs/langgraph.txt)
MCP Documentation (from https://raw.githubusercontent.com/esakrissa/mcp-doc/main/docs/mcp.txt)
Quick Start
Setup and Run
# Clone the repository
git clone https://github.com/esakrissa/mcp-doc.git
cd mcp-doc
# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install the package in development mode
pip install -e .Running the Server
You can run the server using the installed command:
# Run the server with the config file
mcpdoc \
--json config.json \
--transport sse \
--port 8082 \
--host localhostOr if you prefer using UV:
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Run the server with UV
uvx --from mcpdoc mcpdoc \
--json config.json \
--transport sse \
--port 8082 \
--host localhostIDE Integration
Cursor
Add to ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-doc": {
"command": "uvx",
"args": [
"--from",
"mcpdoc",
"mcpdoc",
"--urls",
"LangGraph:https://raw.githubusercontent.com/esakrissa/mcp-doc/main/docs/langgraph.txt",
"ModelContextProtocol:https://raw.githubusercontent.com/esakrissa/mcp-doc/main/docs/mcp.txt",
"--allowed-domains",
"*",
"--transport",
"stdio"
]
}
}
}Then add these instructions to Cursor's Custom Instructions:
for ANY question about LangGraph and Model Context Protocol (MCP), use the mcp-doc server to help answer --
+ call list_doc_sources tool to get the available documentation files
+ call fetch_docs tool to read the langgraph.txt or mcp.txt file
+ reflect on the urls in langgraph.txt or mcp.txt
+ reflect on the input question
+ call fetch_docs on any urls relevant to the question
+ use this to answer the questionTo test if the integration is working, ask Cursor a question about LangGraph or MCP, and check if it uses the documentation server tools to fetch information.
Security Note
For security reasons, strict domain access controls are implemented:
Remote documentation files: Only the specific domain is automatically allowed
Local documentation files: No domains are automatically allowed
Use
--allowed-domainsto explicitly add domains or--allowed-domains '*'to allow all (use with caution)
References
This project is based on the original mcpdoc by LangChain AI, modified to provide focused documentation access for LangGraph and MCP.
This server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.