GPT MCP Project

What is GPT MCP Project?

GPT MCP Project integrates OpenAI GPT Function Calling with real backend API calls via a locally hosted MCP server. It is designed for developers who need to connect GPT’s function calling to actual backend services in a modular, scalable way.

How to use GPT MCP Project?

Install the required Python packages, set your OpenAI API key, and run python main.py to start the MCP server. No additional configuration commands are documented.

Key features of GPT MCP Project

• Tool calling with a real API backend
• Clean, modular project structure
• Easy to scale with many tools
• Locally hosted MCP server

Use cases of GPT MCP Project

• Enabling OpenAI GPT to perform real‑world actions via backend APIs
• Building extensible AI assistants that can call multiple tools
• Prototyping and scaling tool‑augmented GPT applications

FAQ from GPT MCP Project

What dependencies are required?

Python packages and an OpenAI API key are required. The specific packages are not listed in the README.

How do I start the server?

Run python main.py from the project directory after installing dependencies and setting the API key.

Is there a sandbox or test environment?

The README mentions running with a locally hosted MCP server, but does not describe a separate sandbox mode.

What transport does the MCP server use?

The README only states it is a locally hosted MCP server; the transport protocol (e.g., HTTP, STDIO) is not specified.

What license applies to GPT MCP Project?

The README indicates an MIT License (shown at the end of the file).