LangGraph MCP Server
@rezawr
Basic information
About LangGraph MCP Server
A Python-based Model Context Protocol (MCP) server that enables LLMs to access external tools and resources through a standardized interface.
LangGraph MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-basic-architecture": {
"command": "python",
"args": [
"-m",
"app.server"
]
}
}
}LangGraph MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is LangGraph MCP Server?
A clean, modular Model Context Protocol (MCP) server implementation for LangGraph documentation. It provides clients with tools and resources to interact with LangGraph’s capabilities, and is designed for developers who need a maintainable, extensible MCP server.
How to use LangGraph MCP Server?
Run the server with python -m app.server. Clients can then connect to it to call registered tools and resources.
Key features of LangGraph MCP Server
- Modular clean architecture for maintainability
- Easy registration of new tools and resources
- Centralized configuration via
config.py - Built-in logging utilities
- Testable components in isolation
Use cases of LangGraph MCP Server
—
FAQ from LangGraph MCP Server
—
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