About GPT MCP Project
GPT MCP Project connects OpenAI GPT Function Calling to real backend API calls through a locally hosted MCP server. It is intended for developers exploring tool calls and a modular setup that can accommodate additional tools.
Key features
- 01OpenAI GPT Function Calling
- 02Real backend API calls
- 03Modular project structure
- 04Expandable tool set
Use cases
- 01Testing GPT tool calls against backend APIs
- 02Building a modular tool-calling prototype
MCP support
A locally hosted MCP server provides the path for OpenAI GPT Function Calling to invoke backend API calls.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGPT MCP Project
This project integrates OpenAI GPT Function Calling with real backend API calls via a locally hosted MCP server.
Features
- Tool calling with real API backend
- Clean modular structure
- Easy to scale with many tools
Setup
- Install Python packages
- Set your OpenAI API key
- Run
python main.py
MIT License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.