mcp-use - MCP Integration Library

Fullstack MCP framework to build and deploy AI agent apps in minutes

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Updated Jul 2026 · Added Jun 2026

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What is Mcp Use?

mcp-use is a fullstack MCP framework for building and deploying MCP Apps for ChatGPT/Claude and MCP Servers for AI agents. It provides developers with an SDK, scaffolding tools, and a cloud deployment platform to connect any LLM to MCP servers and build custom agents with tool access. The framework supports building once and deploying across multiple surfaces including ChatGPT, Claude, Gemini, and enterprise AI agents, with features like visual debugging, analytics, and automated marketplace submission.

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Key Features of Mcp Use

SDK scaffolding for MCP Apps and Servers
One codebase deployment to ChatGPT, Claude, Gemini
Cloud Inspector for visual debugging and testing
Automatic git push deployment via GitHub App
Python and Node.js support
Built-in analytics and session replay
Marketplace submission asset generation
MCP server aggregation through single endpoint
Embedded chat for MCP servers
Automated evals across multiple models

Who Should Use Mcp Use?

Building ChatGPT custom apps

Creating Claude connectors

Developing MCP servers for AI agents

Building custom agents with tool access

Deploying agents to enterprise Copilot 365

Connecting coding agents to MCP servers

Rapid AI agent prototyping

Integrating web services and data providers with AI agents

Mcp Use: Pros & Cons

✓Pros

Deploy ChatGPT apps in under 60 seconds
One codebase works across multiple LLM platforms
Automatic GitHub deployment with branch previews
Built-in visual debugging and testing without local setup
Open-source and free to use
Zero-friction deployment and aggregation
Comprehensive analytics and error tracking
Supports both Python and JavaScript/TypeScript
Automatic marketplace submission assets
Tested by major companies and NASA

Frequently Asked Questions about Mcp Use

Can I deploy the same MCP app to ChatGPT, Claude, and Gemini without rewriting it?

Yes. mcp-use lets you build once and deploy across ChatGPT, Claude, Gemini, and enterprise AI agents from a single codebase. The framework handles the differences between platforms so you do not have to rewrite your MCP app for each one.

Does mcp-use support both Python and Node.js?

Yes, the SDK scaffolding supports Python and Node.js. You can write your MCP servers and apps in either language and deploy them through the same framework.

What does the Cloud Inspector do?

The Cloud Inspector provides visual debugging and testing of your MCP servers and apps without requiring local setup. You can inspect requests, responses, and errors directly in the browser while your agent runs.

How does deployment work with GitHub?

Install the mcp-use GitHub App and push to your repository. The framework automatically deploys your code and generates branch previews, so you can test changes before merging to production.