MCP-123

🚀 Features

• Ultra-minimal setup: Start a server or client in 2 lines.
• Easy tool creation: Write normal functions in your tools.py file—no decorators or special wrappers needed—and they get included as tools that your MCP server can use automatically.
• OpenAI integration: The client uses your OpenAI API key to answer questions, calling tools as needed.

🖥️ Quickstart

1. Install Requirements

2. Create Your Tools

Define your functions in tools.py. No decorators needed, they are automatically added to your MCP server as tools. For example:

3. Start the MCP Server (2 lines)

4. Set up the MCP Client (2 lines)

5. Use the MCP Client

6. Close the MCP Client when you are done

🚀 Features

• Ultra-minimal setup: Start a server or client in 2 lines.
• Easy tool creation: Write normal functions in your tools.py file—no decorators or special wrappers needed—and they get included as tools that your MCP server can use automatically.
• OpenAI integration: The client uses your OpenAI API key to answer questions, calling tools as needed.

📝 How It Works

• Server: Loads all top-level functions from tools.py and exposes them as MCP tools via HTTP.
• Client: Discovers available tools, sends prompts to OpenAI, and automatically calls tools if needed.

🛠️ Example Output

When you run the client, you’ll see:

🔑 Requirements

• Python 3.11+
• OpenAI API key (for the client)

📢 Why MCP123?

• Zero boilerplate: No need to write schemas or wrappers—just write functions.
• LLM-native: Designed for seamless LLM tool use.
• Extensible: Add more tools by simply adding functions.

🤝 Credits

• Built with FastMCP
• Inspired by the Model Context Protocol (MCP)

📬 Feedback & Contributions

Pull requests and issues are welcome, but only if they are in ALL-CAPS.