Manufact

How good is your MCP? Get a free quality score.Explore leaderboard

Ship and test your MCP plugin on ChatGPT, Claude, Cursor, Grok and Muse

The MCP Cloud to get ready for every marketplace, monitor with MCP-first analytics, and run evals against every harness and client.

Start for free

From first listing to every release after.

Get into every plugin marketplace, see who uses your MCP, and test every release before it ships.

Publish

Get into every plugin marketplace.

Deploy in one click, catch rejection reasons before you submit, and manage every marketplace from one place.

  • Deploy in one click
    From your repository or the CLI, with a preview for every branch.
  • Publishing checks
    Catch rejection reasons before you submit to ChatGPT and Claude.
  • Submission pack
    Listing copy, screenshots and reviewer test cases for every marketplace.
Monitor

Know who uses your MCP, and what they need.

MCP-first analytics: the real users behind every session, what they are trying to do, and what they tell you when something breaks.

  • Real users
    Active users and sessions by account, with names and emails when you turn them on.
  • Intent and goals
    AI-discovered goals show what users are trying to get done in each session.
  • Feedback from the chat
    Users and agents report failures and missing tools without leaving their client.
Test

Evals for your MCP.

Plugs into your development process, wherever you host. Every release is tested before it ships.

  • Every harness and model
    The full lifecycle, tested in each agent and model your users run.
  • Marketplace rules
    Re-checked on every update, so a release never puts your listing at risk.
  • Every operating system
    The same tasks, run on each operating system your users have.

Millions of tool calls. Powered by Manufact.

Agents putting MCP servers deployed on Manufact to work.

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total MCP tool calls

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Your MCP stack, on autopilot.

PredictLeads logo
“Weeks of blind resubmission and waiting time avoided.”
PredictLeadsCustomer story
AgentMail logo
“The weeks we didn't spend on transport, auth, and session handling went straight into shipping our enterprise integrations instead.”
Adi SinghCofounder, AgentMail
Meilleurtaux logo
“End-to-end, the MCP App went from development to live in less than six weeks.”
MeilleurtauxCustomer story

Migrating the Notra MCP to @manufact right know yall arent ready for how good its gonna be 🙏

Dominik Koch@dominikkoch
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Wow, Manufact is really slick for productizing MCP Servers. https://manufact.com/ I was about to build something like it out of frustration because of how boring making MCP Servers is. It's such table stakes work too.

Francois Laberge@seflless
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AgentMail is now the #1 MCP on the @manufact leaderboard You will not believe how much volume we see, and how much we rely on MCP now. Glad to work with the awesome Manufact team to keep it going

Adi Singh@adisingh
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Thanks it was really easy and cool building mcp server with @manufact and especially I loved the analytics feature!

guzus@uncanny_guzus
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Thanks @manufact for the awesome free tool that made my MCP way better!

stemonte@stemonte
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Another great visibility hack for your SaaS is to get listed on @manufact (DR 66). You get a dedicated page, a dofollow link and a spot on their MCP leaderboard. Here is how: 1. Build a remote MCP server for your SaaS 2. Go to http://manufact.com/leaderboard and paste your MCP URL into "Score my MCP". 3. Pass the connection check. Your page goes live with your score, your tools and a link to your site. A few notes: You're also on the leaderboard, so make sure to improve your score. I made it to #7! 🔥

Taras@tarasshyn
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Our MCP usage has EXPLODED since we integrated with @claudeai Hope you guys are enjoying the connector and a big shoutout to the @manufact team for working with us

Adi Singh@adisingh
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This is where AI product distribution is heading. 🚀 If users are already doing their work inside ChatGPT and Claude, your product should be available right there too. MCP makes that possible—and @manufact is making the journey from first commit to being listed much simpler. Definitely worth watching. 👀

ZenithAi@ZenithAiLab
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we use @manufact for our mcp servers, it's a game-changer could not recommend the product more (and incredibly cracked team)

conor brennan-burke@contextconor
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.@zincdotcom crushing it, per usual You can now get free product searches across 1000s of retailers and obviously buy from almost any retailer online: https://mcp.zinc.com/mcp Thanks @manufact for powering us 🚀

Ian Janicki@ianjanicki
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sleek's mcp score went from 50 to 96 in one shot just gave opus the ready-made prompt from @manufact now let's see what to do about those last 4 points

stefano@stefanofa
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Your fastest path to every AI surface

One MCP plugin, ready for every AI chat and coding agent your customers already use.

Submission guides: ChatGPT plugins, Claude plugins, and Muse plugins.

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FAQ

Deploying, publishing checks, and evals for your MCP plugin.

What is Manufact?

Manufact is the platform to ship and test MCP plugins. Deploy from GitHub or the CLI, run publishing checks and generate a submission pack for the ChatGPT, Claude and other plugin marketplaces, monitor usage with MCP-first analytics, and run evals against every harness and client. It's built by the team behind the open-source mcp-use SDKs for TypeScript and Python and the MCP Inspector.

What's the difference between Manufact and mcp-use?

mcp-use is an open-source framework for building MCP servers and MCP Apps, made by the same team. Manufact is the platform, and it doesn't require mcp-use: you can deploy and test MCP servers built with any framework, in any language, on Manufact.

How fast can I deploy an MCP server on Manufact?

Under 60 seconds from git push to a live MCP endpoint. Connect the GitHub App once and every push deploys automatically, or use npx mcp-use deploy from the CLI. An agent can also drive deployments through Manufact's official MCP server.

Which languages and frameworks does Manufact support?

Any language and any MCP framework. TypeScript and Python servers get build presets, including mcp-use and FastMCP, and a Dockerfile option covers everything else.

Do pull requests get preview deployments?

Yes. Every branch gets its own MCP URL (<slug>--br-<branch>.run.mcp-use.com/mcp), so reviewers can point a real client at the change before merge. Available on every plan.

How do I publish an MCP plugin to ChatGPT or Claude?

Manufact runs six categories of publishing checks mapped to marketplace requirements: protocol and discovery, tool conformance, security and policy, metadata and configuration, domain/TLS/CSP, and assets. Each failed check comes with fix guidance and an autofix flow. E2E checks then run your server live inside ChatGPT and Claude to verify tool calls and widget rendering, and a generated submission pack produces listing copy, tool justifications, and reviewer test cases.

What are MCP evals?

An eval is a test suite for your MCP server: a representative task, an optional rubric, and a passing threshold (70% by default). Manufact runs the task in real clients and coding-agent harnesses across the models you choose, and an LLM judge scores each run from the recorded evidence: the tool calls and arguments, the agent's replies and, in ChatGPT and Claude, a screenshot of the rendered MCP App.

Which clients, harnesses and models do evals cover?

ChatGPT, Claude and the Inspector run in a browser and also check MCP Apps UI. Claude Code, Codex CLI and Pi test tool use, each in a fresh sandbox with the real CLI and the models you select, including GPT, Claude and Gemini models. Teams with access to native client apps can also run plugin lifecycle targets, such as Codex on Windows or ChatGPT on Android, which install your plugin and exercise the full flow.

Can evals run in my development process?

Yes. Suites can gate CI, so a regression in any client or model blocks the merge, and you can run every suite on demand before a release. Each run comes with a report of the problems attributed to your server and a fix prompt to paste into your coding agent, then you re-run to confirm the fix.

Are evals included in the Free plan?

Yes. MCP evals are available on every current plan, including Free. Runs start at $0.70 each, with graduated volume discounts, and draw from your organization's shared usage allowance.

What analytics do I get for my MCP server?

Tool calls, sessions, error rates with issue triage, and p50/p95/p99 latency per tool, resource, and prompt, broken down by client (ChatGPT, Claude, Cursor and more), version, and country. You also see the real users behind each session, AI-discovered goals that show what they are trying to get done, and feedback that users and agents send from the chat through a send_feedback tool.

Can I use Manufact without hosting my server there?

Yes, on the Enterprise plan. Book a call and we'll connect your existing remote MCP server so you get evals, publishing checks, and the submission pack against it. Hosting on Manufact adds deploys from GitHub, preview environments, and gateway-level analytics.

How much does Manufact cost?

The Free plan is $0 and includes $5/month in usage. Pay as you go has no subscription fee and includes $10/month in usage, with additional usage billed within your chosen budget. Pro is $300/month or $250/month billed $3,000 annually, with $300/month in included usage. Enterprise terms are agreed individually. Usage rates are graduated; see the pricing page for current rates. Discovery requests such as tools/list are not billed as tool calls.

If it’s MCP, it’s on Manufact.

Ship and test your MCP plugin on every marketplace, harness and client.