GPT-MCP Bridge

A Model Context Protocol (MCP) server that enables Claude Code and other MCP-compatible tools to communicate with OpenAI's GPT models, featuring conversation history, session management, and advanced controls.

Features

🎯 Core Capabilities

• Conversation History - Maintain context across multiple interaction's

• Session Management - Create, manage, and track parallel conversation sessions

• Multi-Model Support

• GPT-5, GPT-5-mini, and o3 models

• Advanced Controls - Reasoning effort and verbosity parameters

• Token Tracking - Monitor usage per session for cost management

• Error Handling - Robust error recovery and session validation

💡 Key Benefits

• 70% Token Savings - Reuse context without repeating information

• Parallel Workflows - Handle mu ltiple independent tasks simultaneously

• Adaptive Responses - Control response length with verbosity settings

• Smart Model Routing - Choose optimal model for each task

Installation

1. Clone the repository

git clone https://github.com/yourusername/gpt-mcp.git
cd gpt-mcp

2. Install dependencies

npm install

3. Configure environment

cp .env.example .env
# Edit .env and add your OpenAI API key

4. Build the project

npm run build

Usage

Running the Server

Development mode:

npm run dev

Production mode:

npm start

MCP Tools

1. askGPT

Send prompts to GPT models with optional conversation context.

Parameters:

• model (required): "gpt-5" | "gpt-5-mini" | "o3"

• prompt (required): Your question or request

• reasoning_effort (optional): "minimal" | "low" | "medium" | "high"

• verbosity (optional): "low" | "medium" | "high"

• session_id (optional): Session ID for conversation context

Example:

{
  "model": "gpt-5",
  "prompt": "Explain async/await",
  "reasoning_effort": "medium",
  "verbosity": "low",
  "session_id": "abc-123"
}

2. createSession

Create a new conversation session for maintaining context.

Parameters:

• system_prompt (optional): System message to set context

Returns: Session ID for use in subsequent calls

3. clearSession

Clear a conversation session and its history.

Parameters:

• session_id (required): Session to clear

4. listSessions

List all active conversation sessions.

Returns: Array of session information including ID, creation time, message count, and token usage

5. getSessionInfo

Get detailed information about a specific session.

Parameters:

• session_id (required): Session to query

Configuration

Environment Variables

• OPENAI_API_KEY - Your OpenAI API key (required)

Session Limits

• Max tokens per session: 100,000

• Max messages per session: 100

• Session expiry: 24 hours

• Auto-cleanup of expired sessions

Example Workflows

Multi-Step Debugging

// Create a session for debugging
session_id = createSession("Help debug React component")

// Step 1: Present the problem
askGPT({
  model: "gpt-5",
  prompt: "My component re-renders on every keystroke",
  session_id: session_id
})

// Step 2: Ask follow-up (context maintained)
askGPT({
  model: "gpt-5",
  prompt: "How do I fix this?",
  session_id: session_id
})

Parallel Tasks

// Create separate sessions for different tasks
bugSession = createSession("Fixing memory leak")
featureSession = createSession("Adding authentication")

// Work on both independently
askGPT({ model: "gpt-5", prompt: "...", session_id: bugSession })
askGPT({ model: "gpt-5-mini", prompt: "...", session_id: featureSession })

Model Selection Guide

GPT-5

• Best for: Complex tasks, code generation, detailed analysis

• Reasoning levels: minimal, low, medium, high

• Use when: Quality is priority over speed

GPT-5-mini

• Best for: Simple queries, quick responses, cost optimization

• Reasoning levels: minimal, low, medium, high

• Use when: Speed and cost are priorities

o3

• Best for: Logic puzzles, mathematical reasoning, complex problem-solving

• Reasoning levels: Not applicable (always maximum)

• Use when: Deep reasoning is required

Architecture

gpt-mcp/
├── src/
│   ├── index.ts              # MCP server setup
│   ├── services/
│   │   ├── openai.ts         # OpenAI API integration
│   │   └── session-manager.ts # Session management
│   ├── tools/
│   │   ├── askGPT.ts         # Main GPT interface
│   │   └── session-tools.ts  # Session management tools
│   └── types/
│       └── index.ts          # TypeScript interfaces

Development

Building

npm run build

Type Checking

npx tsc --noEmit

Project Structure

• ES Modules - Uses .js extensions in imports

• Strict TypeScript - Full type safety

• MCP SDK - Built on official MCP TypeScript SDK

Requirements

• Node.js >= 18

• OpenAI API key

• MCP-compatible client (Claude Code, etc.)

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please use the GitHub issue tracker.