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
Related Resources
Related MCP Servers
- AsecurityFlicenseAqualityThis server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.Last updated -55
- -securityFlicense-qualityA demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.Last updated -
- -securityFlicense-qualityA comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.Last updated -52
- -securityAlicense-qualityA server that implements the Model Context Protocol, providing a standardized way to connect AI models to different data sources and tools.Last updated -111MIT License