MCP OpenAI-Gemini-Llama-Example
Build an AI agent using the MCP with open-source LLMs
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Overview
Comprehensive Overview: MCP-OpenAI-Gemini-Llama-Example
This repository provides a basic example of how to build an AI agent using the Model Context Protocol (MCP) with open-source large language models (LLMs) such as Meta's Llama 3, OpenAI, or Google's Gemini. It's designed as an educational demonstration, not a production-ready framework.
Key Features:
- Connects to an MCP server to load and use tools and resources
- Converts MCP tools into LLM-compatible function calls
- Interacts with LLMs using the OpenAI SDK or Google Genai SDK
- Includes examples for Llama 3, OpenAI, and Google Gemini
Target Audience and Use Cases:
- Developers and researchers interested in building AI agents with open-source LLMs
- Educational purposes, to learn about the MCP and integrating LLMs
- Potential starting point for developing more advanced AI applications
What Makes it Unique:
- Provides a simple, yet comprehensive example of using the MCP with multiple open-source LLMs
- Demonstrates how to bridge the gap between MCP-based tools and LLM-compatible function calls
- Offers a foundation for further exploration and development of AI agents using the MCP and open-source language models.