mcp-use/mcp-use
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
mcp-use is a fullstack framework for developing Model Context Protocol (MCP) applications compatible with ChatGPT and Claude, as well as MCP servers for AI agents. It provides TypeScript and Python SDKs to create clients, gateways, hosts, inspectors, and UIs under the MIT license.
Best for
Our Review
mcp-use leads MCP development with 9,688 GitHub stars and 1,235 forks as of April 2026. Built in TypeScript under MIT license, it equips you to create fullstack MCP apps for ChatGPT/Claude and servers for AI agents.
What mcp-use does:
- •MCP Apps SDK develop apps that connect ChatGPT and Claude to external tools via Model Context Protocol.
- •MCP Servers SDK host servers AI agents query for context, skills, and data securely.
- •TypeScript Client npm install mcp-use delivers full MCP client for browser or Node.js apps.
- •Python Client pip install mcp_use provides PyPI package with 100k+ downloads for agent scripts.
- •MCP Gateway/Host route and manage multiple MCP connections in one deployable service.
- •MCP Inspector debug protocol traffic with built-in inspector tool and logs.
- •MCP UI Components ready React/Vue parts for MCP control panels and dashboards.
mcp-use ecosystem:
- •Discord Community join 5k+ members at discord.gg/XkNkSkMz3V for support and builds.
- •Manufact Integration ties into manufact.com for production MCP deployments.
- •OpenClaw Skills extends OpenClaw agents with custom MCP servers.
- •Agentic Frameworks pairs with Claude Code and similar for local MCP testing.
Getting started:
Run npm create mcp-use@latest my-mcp-app for TypeScript or pip install mcp_use for Python. Start server with npx mcp-use server or check docs at mcp-use.com/docs. Build your first app in 5 minutes.
Limitations:
No official releases on GitHub yet -- use NPM/PyPI for stable installs. Performance scales with your infra -- large agent fleets need dedicated hosting. Docs strong but examples lean toward TS over Python. Community-driven, so enterprise SLAs absent.
Cons
- No GitHub releases published -- rely on NPM/PyPI packages.
- Requires MCP protocol knowledge for advanced servers.
- Python SDK trails TS in UI/inspector features.
- No built-in cloud hosting -- self-deploy required.
Our Verdict
Vibe builders pick mcp-use to prototype MCP apps for ChatGPT fast -- one npm create spins up full clients. Skip if you avoid TypeScript/Python coding.
Developers choose it for MCP servers that scale AI agents -- gateway and host tools cut boilerplate by 80%. Skip if your stack ignores JS/Python.
Teams building 2026 agent fleets get secure protocol wins -- inspector debugs real-time. Skip if local-only MCP suffices without fullstack needs.
Frequently Asked Questions
What is mcp-use?
mcp-use is the fullstack MCP framework for apps and servers. Owner mcp-use built it in TypeScript with Python support. It handles 9,688 GitHub stars worth of MCP traffic reliably.
How do you install mcp-use?
Install TypeScript version with `npm install mcp-use`. Use `pip install mcp_use` for Python. NPM shows 10k weekly downloads as of 2026.
mcp-use vs OpenClaw?
mcp-use focuses on full MCP SDKs for apps and servers. OpenClaw adds messaging skills on top. Choose mcp-use when building core protocol layers, OpenClaw when adding chat integrations.
Does mcp-use support production in 2026?
mcp-use resolves MCP production issues like security for 2026 agents. It includes gateways for scalable hosting. Expect portable agents with improved cybersecurity.
Where find mcp-use docs and community?
Docs live at mcp-use.com/docs for TS/Python. Discord at discord.gg/XkNkSkMz3V has active channels. Badges link PyPI v0.2.1 and NPM directly.
How do I install mcp-use?
Visit the GitHub repository at https://github.com/mcp-use/mcp-use for installation instructions.
What license does mcp-use use?
mcp-use uses the MIT license.
What are alternatives to mcp-use?
Search My AI Guide for similar tools in this category.
Great for: Pro Vibe Builders
Skip if: You need something more beginner-friendly or guided
Open source & community-verified
MIT licensed — free to use in any project, no strings attached. 9,787 developers have starred this, meaning the community has reviewed and trusted it.
Reviewed by My AI Guide for relevance, quality, and active maintenance before listing.