The mcp-use SDK is the fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents. Loved by developers.
Our open source tools are used by developers at top companies
Your fastest path to the ChatGPT Apps Store and Claude Connectors.
One codebase. Every surface where users and agents already work.
AI Chats
ChatGPTClaudeGemini EnterpriseCopilot 365CopilotKit
Coding agents
CodexClaude CodeCursorVS Code
Internal agents
OpenAI AgentsClaude Agent SDKMastraLangchainVercel AI SDK
From first commit to production.
Every step of the MCP lifecycle. No extra tools.
deploy
One push. Live in seconds.
Connect your repo once. Every push auto-deploys to Manufact Cloud. No YAML. No Dockerfile archaeology.
GitHub App
Connect once. Every push auto-deploys to Manufact Cloud.
Preview per branch
A live, unique URL for every pull request
Custom domains
Ship your app under your own domain. SSL handled.
publish
Derisk your path to the marketplaces.
Get your app in front of users in ChatGPT and Claude. Submission assets generated for you. Share an embedded chat anywhere you already have an audience.
Marketplace checklists
Know when you're ready to submit
Submission assets
Logo, copy, and screenshots generated for you
Embedded chat
Automatic sharable chat for your mcp server
mcp.acme.com/chat
monitor
Don't go blind in production.
See how people actually use your MCP app. Analytics, session replay, and observability built in — so you catch regressions before users report them.
Analytics
Traffic, tool-call volume, and latency at a glance.
Session tracking
Replay a user's conversation end-to-end.
Observability
Traces, error rates, and alerts on regressions.
Build by hand. Or with Manufact.
BeforeWithout Manufact
AfterWith Manufact
Stitch together MCP server, React UI, hosting, auth, and scaling.
npx create-mcp-use-app scaffolds the whole stack.
Test by connecting to a live LLM and hoping.
Visual Inspector. Sandbox testing. No LLM required.
Manage your own deployment pipeline and branch previews.
git push auto-deploys via the GitHub App.
Build for ChatGPT or Claude or Gemini — separately.
Build once. Deploy to ChatGPT, Claude, and Gemini.
Developers love
Thousands of dev-teams are building with mcp-use
Been thinking about trying your @mcpuse today when I started building a ChatGPT app, but wasn't sure if it's the right use case. Now I assume it is 🙂
Paolo Perazzo@SiVola
Great addition to the generic MCP Client collection.
Kingsley Uyi Idehen@kidehen
Infra isn't just plumbing. It's distribution. Examples: AgentMail: inboxes for agents, mcp-use: MCP infra, DeepAware: RL for data center ops. Whoever owns the rails agents use to talk to the outside world ends up with Twilio-style power.
Vedika Jain@vedikaja_in
mcp-use is by far the best Python framework for building an agent MCP. It's so easy to set up an agent connected to MCP servers through the command line, that way I can quickly iterate on my MCP servers and test. Most people are using MCP servers in chat clients like Cursor / Claude Code, but MCP server use by agents will explode in the near future. I think it's important to test your server in an agent environment, and mcp-use provides that.
Matt Wang@mcpjams
MCP-Use is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
Adam Silverman@adamsilverman
that's why we love open-source! @NASA is building an agent with MCP using our library @mcpuse 🚀
pederzh@pederzh
Been thinking about trying your @mcpuse today when I started building a ChatGPT app, but wasn't sure if it's the right use case. Now I assume it is 🙂
Paolo Perazzo@SiVola
Great addition to the generic MCP Client collection.
Kingsley Uyi Idehen@kidehen
Infra isn't just plumbing. It's distribution. Examples: AgentMail: inboxes for agents, mcp-use: MCP infra, DeepAware: RL for data center ops. Whoever owns the rails agents use to talk to the outside world ends up with Twilio-style power.
Vedika Jain@vedikaja_in
mcp-use is by far the best Python framework for building an agent MCP. It's so easy to set up an agent connected to MCP servers through the command line, that way I can quickly iterate on my MCP servers and test. Most people are using MCP servers in chat clients like Cursor / Claude Code, but MCP server use by agents will explode in the near future. I think it's important to test your server in an agent environment, and mcp-use provides that.
Matt Wang@mcpjams
MCP-Use is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
Adam Silverman@adamsilverman
that's why we love open-source! @NASA is building an agent with MCP using our library @mcpuse 🚀
pederzh@pederzh
Really sharp execution, mcp-use nails the 'Vercel for MCP' play. Love how you've stripped deployment and aggregation down to a single endpoint with zero friction. Crypto infra teams, onchain data providers, and AI-powered DeFi dashboards could slot this in to speed up agent builds massively.
Ctran.eth@ctranbtw
🦜🤖 MCP-Use Tools - Just launched: An open-source library that connects any LLM to MCP tools for custom agents, featuring seamless integration with LangChain and support for web browsing, Airbnb search, and 3D modeling capabilities.
LangChain@LangChainAI
We implemented Code Mode in mcp-use's MCPClient . All you need to do is define which servers you want your agent to use, enable code mode, and you're done! The client will expose two tools: - One that allows the agent to progressively discover which servers and tools are available - One that allows the agent to execute code in an environment where the MCP servers are available as Python modules (SDKs)
Pietro@pietrozullo
Really sharp execution, mcp-use nails the 'Vercel for MCP' play. Love how you've stripped deployment and aggregation down to a single endpoint with zero friction. Crypto infra teams, onchain data providers, and AI-powered DeFi dashboards could slot this in to speed up agent builds massively.
Ctran.eth@ctranbtw
🦜🤖 MCP-Use Tools - Just launched: An open-source library that connects any LLM to MCP tools for custom agents, featuring seamless integration with LangChain and support for web browsing, Airbnb search, and 3D modeling capabilities.
LangChain@LangChainAI
We implemented Code Mode in mcp-use's MCPClient . All you need to do is define which servers you want your agent to use, enable code mode, and you're done! The client will expose two tools: - One that allows the agent to progressively discover which servers and tools are available - One that allows the agent to execute code in an environment where the MCP servers are available as Python modules (SDKs)
Pietro@pietrozullo
Built in the open.
One of the most adopted open-source MCP frameworks. Open from day one.
7M+
SDK downloads across Python and TypeScript.
10k+
GitHub stars. Open-source since day one.
<60s
From git push to live MCP App or Server.
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