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Build and deploy MCP Apps and Servers

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

ChatGPT

Claude

Gemini Enterprise

Copilot 365

CopilotKit

Coding agents

Codex

Claude Code

Cursor

VS Code

Internal agents

OpenAI Agents

Claude Agent SDK

Mastra

Langchain

Vercel AI SDK

From first commit to production.

Every step of the MCP lifecycle. No extra tools.

build

Start from an SDK, a skill, or a vibe.

Scaffold with the mcp-use SDK. Install a skill into your coding agent. Or describe your app and watch it scaffold. Already writing MCP servers? Drop your existing code in unchanged.

deploy

One push. Live in seconds.

Connect your repo once. Every push auto-deploys to Manufact Cloud. No YAML. No Dockerfile archaeology.

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

iterate

Preview it before a user sees it.

Cloud Inspector runs your MCP server against real clients. Fire tool calls, inspect JSON-RPC, swap models — no local setup.

• Cloud Inspector

  Debug from any browser.

  Open Inspector
• Model swap

  Test the same call against GPT, Claude, Gemini.
• Automatic evals

  Across every model and client

  Try Evals

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.

Before

Without Manufact

After

With 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

Awesome to see mcp-use support MCP-UI! We're aligning on the open spec with OAI and others to make sure the entire community benefits from complete compatibility

Ido Salomon (Creator of MCP-UI)

@idosal1

mcp-use is really into something good here.

Darren Shepherd (Obot AI)

@ibuildthecloud

mcp-use (@mcpuse) is building open-source dev tools and infrastructure for MCP to help dev teams quickly build and deploy custom AI agents with MCP servers.

Y Combinator

@ycombinator

awesome to see @mcpuse on product hunt today! for everyone needing to build with or around MCP! and yes, we'll do a small hack night with them next week to put that to the test as well 😉

Philipp Krenn

@xeraa

MCP evals is here in @deepeval, metric name taken from @mcpuse 👀

Jeffrey 🐬

@jeffr_yyy

🚀 @mcpuse launched! Open source infrastructure and dev tools for MCP agents: "Spin-up and aggregate MCP servers through a single endpoint and zero friction."

Fondo

@Fondocom

Awesome to see mcp-use support MCP-UI! We're aligning on the open spec with OAI and others to make sure the entire community benefits from complete compatibility

Ido Salomon (Creator of MCP-UI)

@idosal1

mcp-use is really into something good here.

Darren Shepherd (Obot AI)

@ibuildthecloud

mcp-use (@mcpuse) is building open-source dev tools and infrastructure for MCP to help dev teams quickly build and deploy custom AI agents with MCP servers.

Y Combinator

@ycombinator

awesome to see @mcpuse on product hunt today! for everyone needing to build with or around MCP! and yes, we'll do a small hack night with them next week to put that to the test as well 😉

Philipp Krenn

@xeraa

MCP evals is here in @deepeval, metric name taken from @mcpuse 👀

Jeffrey 🐬

@jeffr_yyy

🚀 @mcpuse launched! Open source infrastructure and dev tools for MCP agents: "Spin-up and aggregate MCP servers through a single endpoint and zero friction."

Fondo

@Fondocom

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.

Python

TypeScript

10k+

GitHub stars. Open-source since day one.

Contribute

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From git push to live MCP App or Server.

Deploy

Begin your MCP journey
in the

fastest way

From a Git repository

Already have an MCP server on GitHub? Deploy it with one click.

Vibecode your MCP App

Describe what you want. Watch your MCP server and widgets scaffold in front of you.

From a template

Pick one of our templates and start from a known-good scaffold.

Chart the monthly sales data

Chart Builder

Draw the user signup flow

Diagram Builder