Manufact

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Global MCP tool calls on Manufact

The cloud for production MCP

Get on ChatGPT and Claude plugin stores, understand how agents use them and test every release across clients and harnesses.

Your fastest path to every AI surface

One MCP server ready to every AI chat and coding agent your customers already use.

Submission guides: ChatGPT apps, Claude connectors, and Muse connectors.

AI Chats

Coding agents

Your product on

ChatGPT

See guide
Explore the circuit

Wherever your MCP is, the next step is here.

Everything you need to ship and improve your MCP across clients and harnesses.

deploy

Ship your next release faster.

Go from a Git push to a hosted MCP endpoint. Deploy with any MCP framework and review changes on a branch preview before they reach production.

  • Automatic deploys
    Connect your repository or deploy from the CLI.
  • Branch previews
    Try each pull request at its own MCP URL.
  • Custom domains
    Connect clients to an endpoint on your own domain.
publish

One place for every AI surface.

Manage the MCP behind your ChatGPT and Claude plugins in one place. Run publishing checks and prepare listing materials for each store from the same deployed server.

  • Publishing checks
    Find issues before submitting to ChatGPT and Claude.
  • Submission assets
    Generate listing copy and screenshots from your app.
  • Release updates
    Re-run checks when your server or manifest changes.
monitor

Understand how agents use your MCP.

See which tools agents call, which clients they come from, and where requests fail. Follow a session from the first call to the result to understand what needs improving.

  • Usage by client and tool
    See tool-call volume, latency, and errors across AI surfaces.
  • Session tracking
    Inspect the sequence of MCP calls behind a workflow.
  • Failure investigation
    Trace a failed request back to its client and tool.
test

Catch failures across clients and harnesses.

Run the same task in ChatGPT, Claude, and coding agent harnesses before each release. Compare tool use and app behavior, inspect the evidence, and re-test your fixes.

  • Cross-harness testing
    Test tool use in Claude Code, Codex CLI, and Pi.
  • MCP Apps UI checks
    Check app rendering in ChatGPT, Claude, and the Inspector.
  • Reports and fix prompts
    Review recorded calls and judge findings, then re-run after a fix.

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.

Skip the MCP plumbing. Manufact handles deployment, cross-client test harnesses, store compliance, and analytics.

Explore customer stories
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
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“End-to-end, the MCP App went from development to live in less than six weeks.”
MeilleurtauxCustomer story

From the creators of mcp-use.

Build MCP servers and apps with the open-source framework from the team behind Manufact Cloud.

Our open source tools are used by developers at top companies

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6sense logo
Elastic logo
IBM logo
Innovacer logo
Intuit logo
NVIDIA logo
Oracle logo
Red Hat logo
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build

Build your MCP

Scaffold with the mcp-use SDK, install the skill in your coding agent, or start from a production-ready template.

10M+

SDK downloads across Python and TypeScript.

10k+

GitHub stars. Open-source since day one.

MIT

Read, modify, and self-host the mcp-use framework.

FAQ

Everything you need to build, deploy, test, and publish with Manufact.

What is Manufact?

Manufact (formerly mcp-use) is a platform for deploying, testing, observing, and publishing MCP servers and MCP apps. It's built by the team behind the open-source mcp-use SDKs for TypeScript and Python and the open-source MCP Inspector. Deploys run from GitHub, the CLI, or Manufact's own MCP server, and the platform covers the lifecycle after deploy: cross-client testing, MCP-native analytics, and publishing checks for the ChatGPT Apps Store and Claude Cloud Connectors.

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?

TypeScript and Python are first-class through the mcp-use SDKs, with presets for FastMCP and other frameworks, plus a Dockerfile option for anything else. You can also connect an MCP server hosted elsewhere by URL and use testing, analytics, and publish checks without moving your hosting.

How do I test an MCP server across different AI clients?

Manufact test suites exercise your deployed server's tools across clients and swap models between GPT, Claude, and Gemini, with LLM-judged pass/fail results per client and model. Suites can gate CI, so a regression in any client blocks the merge. The embedded Cloud Inspector also lets you invoke tools, browse resources, and preview widgets against real clients with no local setup.

What is the MCP Inspector?

MCP Inspector is an open-source tool maintained by Manufact for debugging MCP servers: tool testing, resource browsing, prompt testing, real-time JSON-RPC logging, and widget preview with full window.openai emulation. Run it hosted at inspector.manufact.com, locally with npx @mcp-use/inspector, or self-hosted via Docker. Inside the Manufact dashboard, the Cloud Inspector runs against your deployed server directly.

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. Traffic breaks down by client (ChatGPT, Claude, Cursor, Windsurf, custom), client version, protocol version, and country. Session replay shows the full timeline of each session, and an internal-traffic toggle excludes dashboard and inspector calls from production numbers.

How does authentication work for MCP servers on Manufact?

OAuth ships with six documented providers: Auth0, Better Auth, Clerk, Keycloak, Supabase, and WorkOS, plus support for any custom provider that supports dynamic client registration. Your tools receive verified user context on every call. Clients connect with OAuth 2.1 with PKCE or bearer tokens.

How do I publish an MCP app to the ChatGPT Apps Store or Claude Connectors?

Manufact runs six categories of publishing checks mapped to store 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.

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 Hobby and above.

Is mcp-use open source?

Yes. The mcp-use SDKs for TypeScript and Python (servers, clients, and agents) and the MCP Inspector are open source, with 10M+ downloads and 10k+ GitHub stars. The Manufact cloud platform builds on them.

How much does Manufact cost?

The Free plan is $0 and includes $5/month in usage credits. Hobby is $25/month and adds preview deployments, E2E checks, and the submission pack. Startup is $250/month with all regions, and Enterprise is custom. Usage is metered ($0.10 per 1k tool-call requests, $1 per eval run, $2 per E2E check); discovery traffic like tools/list is never billed.

Can I use Manufact without hosting my server there?

Yes. Connect an existing remote MCP server by URL and get the Chat interface, test suites, publish checks, and the submission pack against it. Hosting on Manufact adds deploys from GitHub, preview environments, and gateway-level analytics.

Begin your MCP journey
in the
fastest way

From a Git repository

Import an existing MCP server from GitHub and deploy it in one click.

Connect External via Proxy

Already host your MCP server elsewhere? Connect its URL through the Manufact proxy without redeploying.

From a template

Choose a production-ready starter and make it yours from a known-good scaffold.