🚀 MCP Client with Gemini AI

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Welcome! This project features multiple MCP clients integrated with Google Gemini AI to execute tasks via the Model Context Protocol (MCP) — with and without LangChain.

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MCP Client Options

This repository includes four MCP client options for various use cases:

If you want to add or reuse MCP Servers, check out the MCP Servers repo.

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✪ Features

✅ Connects to an MCP server (STDIO or SSE)
✅ Uses Google Gemini AI to interpret user prompts
✅ Allows Gemini to call MCP tools via server
✅ Executes tool commands and returns results
✅ (Upcoming) Maintains context and history for conversations

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Running the MCP Client

Choose the appropriate command for your preferred client:

• Legacy STDIO — uv run client.py path/to/server.py
• LangChain STDIO — uv run langchain_mcp_client.py path/to/server.py
• LangChain Multi-Server STDIO — uv run langchain_mcp_client_wconfig.py path/to/config.json
• SSE Client — uv run client_sse.py sse_server_url

Project Structure

mcp-client-gemini/
├── client.py                        # Basic client (STDIO)
├── langchain_mcp_client.py         # LangChain + Gemini
├── langchain_mcp_client_wconfig.py # LangChain + config.json (multi-server)
├── client_sse.py                   # SSE transport client (local or remote)
├── .env                            # API key environment file
├── README.md                       # Project documentation
├── requirements.txt                # Dependency list
├── .gitignore                      # Git ignore rules
├── LICENSE                         # License information

How It Works

1. You send a prompt:

   Create a file named test.txt

2. The prompt is sent to Google Gemini AI.
3. Gemini uses available MCP tools to determine a response.
4. The selected tool is executed on the connected server.
5. The AI returns results and maintains conversation context (if supported).

🤝 Contributing

At this time, this project does not accept external code contributions.

This is to keep licensing simple and avoid any shared copyright.

You’re very welcome to: ✅ Report bugs or request features (via GitHub Issues)
✅ Fork the repo and build your own version
✅ Suggest documentation improvements

If you’d like to collaborate in another way, feel free to open a discussion!