mcp-use
The fullstack MCP framework to build and deploy MCP Apps for ChatGPT/Claude and MCP Servers for AI agents, with a built-in Inspector, React Views, and one-push cloud deployment.
At a Glance
Get started with MCP development at no cost.
Engagement
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Listed Aug 2026
About mcp-use
mcp-use is an open-source TypeScript and Python framework for building, testing, and shipping Model Context Protocol (MCP) apps and servers. Backed by Y Combinator and developed by Manufact, Inc., it provides a fullstack development experience from scaffolding to production deployment on Manufact Cloud. The project has accumulated over 10,000 GitHub stars and, according to the Manufact website, more than 7 million SDK downloads across Python and TypeScript.
What It Is
mcp-use is a fullstack MCP development framework that covers the entire lifecycle of an MCP server or app: scaffolding, local development, visual inspection, cross-client testing, and cloud deployment. It targets developers who want to publish tools to the ChatGPT Apps Store, Claude Connectors, or expose MCP servers to AI agents built on frameworks like LangChain, Vercel AI SDK, Mastra, and OpenAI Agents. The core SDK is MIT-licensed and open source; Manufact Cloud is the commercial hosting layer built on top of it.
Architecture and Ecosystem
The mcp-use ecosystem is organized as a set of composable packages:
mcp-use— TypeScript v2 server framework with React Views, Zod-typed tool schemas, and a built-in CLI@mcp-use/client— Connect to MCP servers from Node.js, browsers, React, and sandboxes@mcp-use/agent— Build model-powered agents on top of MCP clients@mcp-use/inspector— Inspect and debug MCP servers and apps visually or headlesslycreate-mcp-use-app— Scaffold new servers and interactive apps in one commandmcp-usefor Python — Build Python MCP servers, clients, and agents
The framework is built on the official MCP TypeScript SDK v2 and adds native React Views, typed tool-to-UI contracts, an optimized stateless runtime, screenshot verification, agent-first CLI workflows, and built-in tunneling for local-to-cloud testing.
Developer Workflow
The development loop is designed to minimize friction at every step:
- Scaffold —
npx create-mcp-use-appgenerates a project with server entry, TypeScript config, dev scripts, and a React view pipeline in under a minute. - Develop —
npm run devserves the MCP endpoint locally and opens the built-in Inspector atlocalhost:3000/mcp/inspector. - Inspect — The Cloud Inspector lets developers fire tool calls, inspect JSON-RPC traffic, swap between GPT, Claude, and Gemini models, and capture View screenshots — no live LLM required for basic testing.
- Deploy —
npm run deployor agit pushvia the GitHub App auto-deploys to Manufact Cloud with branch preview URLs, custom domains, and SSL handled automatically. - Publish — Marketplace checklists and auto-generated submission assets (logo, copy, screenshots) help developers meet ChatGPT Apps Store and Claude Connectors requirements before submitting.
Platform Capabilities
Manufact Cloud wraps the open-source SDK with production infrastructure:
- MCP Hosting — Deploy MCP apps and servers with sub-60-second deploy times per the Manufact website
- Cross-client testing — Run automated evals across ChatGPT, Claude, Gemini, Cursor, and more from a single test suite
- Publishing checks — Audit an MCP app against marketplace requirements before submission
- Cloud Inspector — Trace, replay, and debug MCP traffic in production
- Public chat — Embeddable chat surfaces for sharing an MCP server with end users
- Analytics — Traffic, tool-call volume, latency, session replay, and error-rate observability
Update: mcp-use 2.0.1
The latest release is mcp-use 2.0.1, published on August 5, 2026. Version 2 is a significant update from v1, introducing native Views support aligned with the MCP 2026 protocol, one-line OAuth adapters, built-in tunneling, and an agent-first CLI. The GitHub README includes a migration guide for v1 users. The repository was created in March 2025 and has been actively maintained since, with the last push recorded on August 6, 2026. The project also underwent a branding rename from the original mcp-use identity to Manufact as the commercial platform name, while the open-source SDK retains the mcp-use name.
Why It Got Attention
The mcp-use project attracted early community attention as one of the first open-source libraries to connect any LLM to any MCP server without requiring a closed-source client. Y Combinator highlighted it as "open source infrastructure and dev tools for MCP agents." LangChain's official account noted its integration support. The Manufact website attributes community commentary comparing the project to "Vercel for MCP" due to its single-endpoint deployment and aggregation model. The repository reached 10,000+ GitHub stars and the SDK crossed 7 million downloads, according to Manufact's own published figures.
Community Discussions
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Pricing
Free
Get started with MCP development at no cost.
- $5 in credits included monthly
- 2 projects
- 7 days analytics retention
- 1 team member
- Deploy from GitHub Organization
Hobby
For individual developers building and shipping MCP apps.
- Includes $30 in credits, then pay-as-you-go
- 5 projects
- 30 days analytics retention
- 3 team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- Email Support
Startup
For growing teams shipping MCP apps to production.
- Includes $300 in credits, then pay-as-you-go
- Unlimited projects
- 1 year analytics retention
- 10 team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- All regions
- Dedicated Slack Channel
Enterprise
Custom volume pricing for large teams with unlimited scale.
- Custom volume pricing
- Unlimited projects
- Unlimited analytics retention
- Unlimited team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- All regions
- Premium Support
Capabilities
Key Features
- Fullstack MCP server and app framework (TypeScript and Python)
- Native React Views bound directly to MCP tools
- Zod-typed tool schemas with structured input/output
- Built-in Inspector for visual and headless debugging
- Built-in tunneling for local-to-cloud testing
- One-command scaffolding via create-mcp-use-app
- Git-push auto-deployment to Manufact Cloud
- Branch preview URLs per pull request
- Cross-client testing across ChatGPT, Claude, Gemini, Cursor
- Marketplace publishing checklists and submission asset generation
- Cloud Inspector for tracing, replaying, and debugging MCP traffic
- Embeddable public chat surfaces
- Analytics, session replay, and observability
- MCP 2026 protocol conformance
- One-line OAuth adapters
- View screenshot CLI for visual regression testing
- Agent-first CLI workflows
- Self-hosting support
