mcp-use - MCP Integration Library
Fullstack MCP framework to build and deploy AI agent apps in minutes
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
Tags
Tool Details
- Company
- Manufact
- Pricing
- Free
- Category
- Mcp Servers
- Added
- Jun 2026
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