Gpt MCP Project

Gpt MCP Project

This project connects OpenAI GPT function calls with real backend APIs through a local MCP server, featuring a modular structure and easy scalability.

Developer tools Artificial intelligence chatbots #GPT Docking #API Integration #Modularity #Local Service .Python

rating : 2 points

downloads : 7.7K

update time : 2025-04-29

What is the GPT MCP Project?

The GPT MCP Project is a system that connects OpenAI's GPT function call capabilities with actual backend APIs. Through a locally hosted Model Context Protocol (MCP) server, the system allows AI models to interact with actual backend services through function calls.

How to Use the GPT MCP Project?

The basic usage includes setting up the environment, configuring the OpenAI API key, and running the main application. The system will handle the integration between GPT function calls and backend APIs.

Application Scenarios

Suitable for developers who want to connect AI capabilities with actual backend services, create dynamic AI applications with real - time data integration, or build modular AI systems to support multiple tools.

Key Features

Function Call Integration

Locally Hosted Server

Modular Architecture

How to Use

Install the necessary dependencies: ```bash pip install openai requests ```

Set up the OpenAI API key and add it to the environment variables or configuration file. For example: ```bash export OPENAI_API_KEY='your - api - key' ```

Run the main application and start the local MCP server. ```bash python main.py ```

Interact with the GPT model by calling the API or CLI. For example: ```bash ./cli --prompt 'Your prompt' ```

Frequently Asked Questions

What is the MCP server?

Do I need programming skills to use this project?

Is there a graphical interface available?

Related Resources

OpenAI API Documentation

OpenAI's official documentation provides detailed API usage guides and best practices.

GitHub Repository

The project's source code repository contains implementation details and examples.

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