LangGraph MCP Server

by rezawr

Backend/Servers LangGraph Server Architecture Modular

A clean, modular implementation of a Model Context Protocol (MCP) server for LangGraph documentation. It follows a clean architecture pattern for maintainability and ease of debugging.

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What is LangGraph MCP Server?

This is a Model Context Protocol (MCP) server designed for LangGraph. It provides a structured way to manage and access tools and resources within a LangGraph application.

How to use LangGraph MCP Server?

To use the server, you need to run the app/server.py script. You can add new tools and resources by creating new files in the app/tools/ and app/resources/ directories, respectively, and registering them in the corresponding __init__.py files. Clients can then access these tools and resources through the MCP server.

Key features of LangGraph MCP Server

Modularity
Extensibility
Maintainability
Scalability
Testability

Use cases of LangGraph MCP Server

Providing LangGraph documentation
Managing tools and resources in a LangGraph application
Creating a scalable and maintainable server for LangGraph
Enabling clients to access tools and resources
Building a Model Context Protocol server

FAQ from LangGraph MCP Server

How do I add a new tool?

Create a new file in the app/tools/ directory, define your tool functions, create a registration function, and import/call it in app/tools/__init__.py.

How do I add a new resource?

Create a new file in the app/resources/ directory, define your resource functions, create a registration function, and import/call it in app/resources/__init__.py.

How do I run the server?

Run the command python -m app.server in your terminal.

What are the benefits of this architecture?

The architecture promotes modularity, extensibility, maintainability, scalability, and testability.

What is the purpose of the Config file?

The Config file (app/config.py) serves as a central location for all configuration settings of the server.