
Manufact

Build and deploy MCP Apps and Servers with the mcp-use SDK. One codebase for ChatGPT, Claude, Gemini, and more. From first commit to production.
Editor's Verdict
Key Takeaways
- MCP SDK Scaffolding
- One-Click Deployment
- Marketplace Publishing
- Cloud Inspector
In-Depth Review: What is Manufact?
Manufact provides the mcp-use SDK, a fullstack MCP framework loved by developers. It enables you to build, deploy, and publish MCP Apps and Servers for AI agents across platforms like ChatGPT, Claude, and Gemini. With features like Cloud Inspector, analytics, and one-click deployment, you can go from first commit to production in seconds. Trusted by NASA and Y Combinator-backed, it's the fastest path to the ChatGPT Apps Store and Claude Connectors.
Core Features
MCP SDK Scaffolding
Start building MCP Apps and Servers quickly using the mcp-use SDK, a Skill for coding agents, or Vibe coding to scaffold from a description.
One-Click Deployment
Deploy MCP Apps and Servers to Manufact Cloud with a single git push. Auto-deploys, preview per branch, and custom domains included.
Marketplace Publishing
Publish to ChatGPT and Claude marketplaces with automatically generated assets (logo, copy, screenshots) and embedded chat links.
Cloud Inspector
Debug MCP servers from any browser by firing tool calls, inspecting JSON-RPC, and swapping models without local setup.
Built-in Analytics & Monitoring
Track traffic, tool-call volume, latency, session replay, and observability traces to catch regressions in production.
Multi-Platform Support
Build once and deploy to ChatGPT, Claude, Gemini, Copilot, and other AI agents using the same codebase.
Pricing
Free
- 2 projects
- 7 days analytics retention
- 1 team member
- Deploy from GitHub Organization
- $5 in credits included monthly
Hobby
- 5 projects
- 30 days analytics retention
- 3 team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- Email Support
- $30 in credits included monthly
Startup
- Unlimited projects
- 1 year analytics retention
- 10 team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- All regions
- Dedicated Slack Channel
- $300 in credits included monthly
Enterprise
- Unlimited projects
- Unlimited analytics retention
- Unlimited team members
- Preview Deployments
- Deploy from GitHub Organization
- Cold-start Prevention
- All regions
- Premium Support
- Custom volume pricing
Pros and Cons
Pros
- Open Source & Community Loved7M+ SDK downloads and 10k+ GitHub stars. Trusted by developers at top companies and NASA.
- Full MCP LifecycleCovers build, deploy, publish, iterate, and monitor in one platform with no extra tools.
- Fast DeploymentPush to GitHub and get a live URL within seconds. No YAML or Dockerfile needed.
- Multi-Client SupportDeploy once to ChatGPT, Claude, Gemini, Copilot, and various coding agents.
- Built-in Analytics & DebuggingCloud Inspector, session replay, and observability help catch issues before users do.
Cons
- Limited Free TierFree plan only includes 2 projects and 7 days analytics retention, forcing upgrades for serious use.
- Vendor Lock-inTight integration with Manufact Cloud may make migration to other platforms difficult.
- Learning CurveMCP concepts and the mcp-use SDK may require time to understand for new developers.
- Relatively NewThe platform and ecosystem are still evolving, which may lead to instability or missing features.
- Requires GitHubDeployment relies on GitHub integration; not suitable for teams using other Git providers.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Needs to build and deploy AI-powered apps quickly without managing infrastructure.
AI Agent Developer→ View Toolkit
Requires a framework to create MCP servers and test them across multiple LLM clients.
Product Manager→ View Toolkit
Wants to evaluate and ship AI features faster with built-in analytics and marketplace tools.
Indie Hacker→ View Toolkit
Looking for a cost-effective way to prototype and launch MCP-based apps to various platforms.
DevOps Engineer→ View Toolkit
Responsible for CI/CD pipelines and monitoring; benefits from auto-deploy and observability.
Data Scientist→ View Toolkit
Uses MCP to expose data models as tools for AI agents; needs easy deployment and testing.
Frequently Asked Questions
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View Detailed Comparison →ℹ️ Curation Disclosure: The overview and features of Manufact were synthesized using AI and fact-checked by our curation team to ensure accuracy.












