GPT-5 MCP Server

Integrates OpenAI GPT-5 capabilities into Claude Code

README.md

gpt5mcp

MCP server for OpenAI GPT-5 API integration with Claude Code. Provides gpt5_agent and gpt5_codex tools.

Setup

Option A: npm install (recommended)

npm install -g gpt5mcp

# Basic (gpt5_agent only)
claude mcp add gpt5mcp -e OPENAI_API_KEY=sk-... -- gpt5mcp

# Full (with gpt5_codex support)
claude mcp add gpt5mcp \
  -e OPENAI_API_KEY=sk-... \
  -e CODEX_BIN=$(which codex) \
  -- gpt5mcp

Option B: From source

git clone https://github.com/cristip73/gpt5mcp.git
cd gpt5mcp
npm install
npm run build

claude mcp add gpt5mcp \
  -e OPENAI_API_KEY=sk-... \
  -e CODEX_BIN=$(which codex) \
  -- node /absolute/path/to/gpt5mcp/build/index.js

Option C: Manual config

Create/edit ~/.claude/.mcp.json:

{
  "mcpServers": {
    "gpt5mcp": {
      "command": "gpt5mcp",
      "env": {
        "OPENAI_API_KEY": "sk-...",
        "CODEX_BIN": "/path/from/which/codex"
      }
    }
  }
}

Codex CLI Setup (for `gpt5_codex` tool)

The gpt5_codex tool requires OpenAI's Codex CLI. Skip this if you only need gpt5_agent.

# Install Codex CLI
npm install -g @openai/codex

# Find the path
which codex
# Example output: /usr/local/bin/codex

# Use this path for CODEX_BIN

Verify

Restart Claude Code and check:

claude mcp list

You should see gpt5mcp with tools gpt5_agent and gpt5_codex.

Environment Variables

Variable Required Description
OPENAI_API_KEY Yes OpenAI API key with GPT-5 access
CODEX_BIN No Path to Codex CLI binary (for gpt5_codex tool)

Active Tools

GPT-5 Agent (`gpt5_agent`)

Autonomous agent with SSE streaming that solves complex multi-step tasks. Supports tool orchestration, web search, code interpreter, and file operations.

Key Parameters:

Parameter Default Description
task required Task description
model gpt-5.2 Model: gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini, gpt-5-nano
reasoning_effort medium none, minimal, low, medium, high
verbosity medium low, medium, high
max_iterations 10 Max agent loops (1-20)
enable_web_search true Enable web search
enable_code_interpreter false Enable code execution
enable_file_operations false Enable file read/write
save_to_file true Save output to gpt5_docs/
previous_response_id - Continue previous conversation

Examples:

{
  "task": "Research the latest AI developments in 2026",
  "reasoning_effort": "high",
  "enable_web_search": true
}
{
  "task": "Analyze this Python code for performance issues",
  "file_path": "/path/to/code.py",
  "enable_code_interpreter": true
}

GPT-5 Codex (`gpt5_codex`)

Deep code analysis via Codex CLI. Spawns codex binary for autonomous code editing.

Key Parameters:

Parameter Default Description
prompt required Task for Codex
model gpt-5.2-codex Model: gpt-5.2-codex, gpt-5.1-codex, o3, o4-mini
reasoning medium low, medium, high, extra_high
edit_mode auto_edit research, auto_edit, full_auto, dangerous
file_path - Single file input (100KB max)
files - Multiple files (200KB total)
output_format standard standard (with metadata) or clean

Edit Modes:

  • research - Read-only analysis, no file changes
  • auto_edit - Prompts before each edit
  • full_auto - Auto-applies safe edits
  • dangerous - No restrictions (use with caution)

Example:

{
  "prompt": "Refactor this module to use async/await",
  "file_path": "/path/to/module.ts",
  "reasoning": "high",
  "edit_mode": "auto_edit"
}

Inactive Tools

Disabled by default for performance. Enable in src/tools/index.ts:

Tool Description
web_search Web search via OpenAI Responses API
file_operations File read/write/delete
code_interpreter Execute Python/JavaScript
image_generation DALL-E 3 / GPT-Image-1
function_definition Define custom reusable functions

To enable:

// src/tools/index.ts
const ACTIVE_TOOLS = {
  gpt5_agent: true,
  gpt5_codex: true,
  image_generation: true,  // ← set to true
  // ...
};

Then: npm run build and restart Claude Code.

Architecture

src/
├── index.ts              # MCP server entry point
├── utils.ts              # GPT-5 API utilities
├── types/
│   ├── responses.ts      # API response types
│   └── tools.ts          # Tool interface definitions
└── tools/
    ├── index.ts          # Tool registration & activation
    ├── registry.ts       # Tool registry (singleton)
    ├── base.ts           # Base tool class
    └── built-in/
        ├── gpt5-agent.ts     # ✅ Active
        ├── gpt5-codex.ts     # ✅ Active

Tools 2

gpt5_agentAutonomous agent with SSE streaming that solves complex multi-step tasks.
gpt5_codexDeep code analysis via Codex CLI for autonomous code editing.

Environment Variables

OPENAI_API_KEYrequiredOpenAI API key with GPT-5 access
CODEX_BINPath to Codex CLI binary (for gpt5_codex tool)

Try it

Research the latest AI developments in 2026 and save the findings to a file.
Analyze this Python code for performance issues using the gpt5_agent.
Refactor this module to use async/await using the gpt5_codex tool.
Perform a deep code analysis on the current project files to identify potential security vulnerabilities.

Frequently Asked Questions

What are the key features of GPT-5 MCP?

Autonomous agent for complex multi-step task orchestration. Deep code analysis and autonomous editing via Codex CLI. Integrated web search, code interpreter, and file operations. Support for multiple GPT-5 model variants including gpt-5.2 and gpt-5-mini. Configurable reasoning effort and edit modes for code changes.

What can I use GPT-5 MCP for?

Automating complex research tasks that require web search and file persistence. Refactoring large codebases using autonomous edit modes. Performing deep performance analysis on specific modules. Executing multi-step development tasks without manual intervention.

How do I install GPT-5 MCP?

Install GPT-5 MCP by running: npm install -g gpt5mcp

What MCP clients work with GPT-5 MCP?

GPT-5 MCP works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep GPT-5 MCP docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Open Conare