Manufact | Build and Deploy MCP Agents, Servers & Apps

Build and deploy MCP Apps and ServersThe 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 companiesYour fastest path to the ChatGPT Apps Store and Claude Connectors.One codebase. Every surface where users and agents already work.AI ChatsChatGPTClaudeGemini EnterpriseCopilot 365Coding agentsCodexClaude CodeCursorVS CodeInternal agentsOpenAI AgentsClaude Agent SDKMastraLangchainVercel AI SDKCopilotKitFrom first commit to production.Every step of the MCP lifecycle. No extra tools.deployOne push. Live in seconds.Connect your repo once. Every push auto-deploys to Manufact Cloud. No YAML. No Dockerfile archaeology.GitHub AppConnect once. Every push auto-deploys to Manufact Cloud.Preview per branchA live, unique URL for every pull requestCustom domainsShip your app under your own domain. SSL handled.publishDerisk 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 checklistsKnow when you're ready to submitSubmission assetsLogo, copy, and screenshots generated for youEmbedded chatAutomatic sharable chat for your mcp servermcp.acme.com/chatmonitorDon'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.AnalyticsTraffic, tool-call volume, and latency at a glance.Session trackingReplay a user's conversation end-to-end.ObservabilityTraces, error rates, and alerts on regressions.Build by hand. Or with Manufact.BeforeWithout ManufactAfterWith ManufactStitch 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 loveThousands of dev-teams are building with mcp-useBeen 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@SiVolaGreat addition to the generic MCP Client collection.Kingsley Uyi Idehen@kidehenInfra 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_inmcp-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@mcpjamsMCP-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@adamsilvermanthat's why we love open-source! @NASA is building an agent with MCP using our library @mcpuse 🚀pederzh@pederzhBeen 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@SiVolaGreat addition to the generic MCP Client collection.Kingsley Uyi Idehen@kidehenInfra 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_inmcp-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@mcpjamsMCP-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@adamsilvermanthat's why we love open-source! @NASA is building an agent with MCP using our library @mcpuse 🚀pederzh@pederzhReally 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<60s to deploy your ChatGPT App 🤯 With mcp-use creating your own app takes less than a minute. 1. npx create-mcp-use-app 2. Edit your react widgets 3. yarn deploy. Done! You can now connect your mcp server to ChatGPT and start chatting.Enrico Toniato@thisfounderWe 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@pietrozulloReally 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<60s to deploy your ChatGPT App 🤯 With mcp-use creating your own app takes less than a minute. 1. npx create-mcp-use-app 2. Edit your react widgets 3. yarn deploy. Done! You can now connect your mcp server to ChatGPT and start chatting.Enrico Toniato@thisfounderWe 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@pietrozulloBuilt in the open.One of the most adopted open-source MCP frameworks. Open from day one.10k+GitHub stars. Open-source since day one.Contribute<60sFrom git push to live MCP App or Server.DeployBegin your MCP journey in the fastest wayAlready have an MCP server on GitHub? Deploy it with one click.Describe what you want. Watch your MCP server and widgets scaffold in front of you.Pick one of our templates and start from a known-good scaffold.