Quick Start with Langchain and the Github MCP Server

Quick Start with Langchain and the Github MCP Server

By marlenezw GitHub

Quick Start MCP with Langchain

langchain mcp
Overview

what is Langchain MCP?

Langchain MCP is a Python package that allows users to quickly prototype with the MCP Github Server and Langchain MCP Adapters, enabling the use of large language models (LLMs) for free.

how to use Langchain MCP?

To use Langchain MCP, you need to install Docker, clone the MCP server repository, build the Docker image, and run the provided Python script.

key features of Langchain MCP?

  • Quick setup with Docker for local development
  • Integration with Langchain and Github Models
  • Prototyping capabilities for LLMs

use cases of Langchain MCP?

  1. Developing applications that utilize large language models.
  2. Prototyping AI solutions using Github models.
  3. Experimenting with Langchain adapters for various tasks.

FAQ from Langchain MCP?

  • What is required to run Langchain MCP?

You need Docker installed on your machine to run the server locally.

  • Is Langchain MCP free to use?

Yes! Langchain MCP is free to use for prototyping with LLMs.

  • Can I use Langchain MCP for commercial projects?

Please check the licensing terms on the GitHub repository for commercial use.

Content

Quick Start with Langchain and the Github MCP Server

This Python code gets you started with the MCP Github Server and Langchain MCP Adapters This package uses langchain-azure with Github Models to prototype with LLMs for free :)

To run the server locally with docker you should:

  1. Install docker
  2. Clone the mcp server repo
    git clone https://github.com/modelcontextprotocol/servers.git
    cd servers
    
  3. Build the docker image
    docker build -t mcp/github -f src/github/Dockerfile .
    
  4. Install the requirements and run the Python script
No tools information available.
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