Teammate MCP
Enables Claude Code and OpenAI Codex to ask each other questions through iTerm panes, with no daemon or per-project configuration.
What is Teammate MCP?
Teammate MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables claude code and openai codex to ask each other questions through iterm panes, with no daemon or per-project configuration.
Enables Claude Code and OpenAI Codex to ask each other questions through iTerm panes, with no daemon or per-project configuration.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables Claude Code and OpenAI Codex to ask each other quest
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx teammateConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Teammate MCP
What is Teammate MCP?
Teammate MCP is a Model Context Protocol (MCP) server that enables claude code and openai codex to ask each other questions through iterm panes, with no daemon or per-project configuration. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Teammate MCP?
Follow the installation instructions on the Teammate MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Teammate MCP?
Teammate MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Teammate MCP free to use?
Yes, Teammate MCP is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Teammate MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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