MCP AI Chat LangChain

MCP AI Chat LangChain Example

A basic implementation of a Model Context Protocol (MCP) server that demonstrates core functionality, including tools and resources. This guide will walk you through the steps to initialize, inspect, and integrate the server.

Getting Started

Before you begin, ensure you have the following installed:

Python (Version 3.8 or later)
uv CLI

To verify your installation, run:

    python --version
    uv --version

Initialization

To initialize the project, navigate to a local folder of your choice and launch your terminal (PowerShell or CMD). Then, run:

    uv init mcp-ai-chat-langchain

Create a virtual environment

    uv venv --python 3.12.0

To add a new dependency

    uv add langchain-groq
    uv addlangchain-openai
    uv add mcp-use

This will set up the project directory and install the necessary dependencies.

To execute the project

    uv run app.py

Resources

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A basic Model Context Protocol server implementation that demonstrates core functionality including tools and resources for AI chat applications.

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