4 MCP Platforms That Auto-Deploy on Every Git Push

If you want an MCP server that redeploys itself the moment you run git push, four platforms are worth a serious look: Manufact, Vercel, Alpic, and Smithery. All four can wire a GitHub repo to a live deployment, but they differ sharply in what happens after the deploy. Only Manufact treats the push as the start of a full MCP lifecycle: a live endpoint in under 60 seconds, browser-based debugging, automatic evals across GPT, Claude, and Gemini, observability, and marketplace submission assets. This roundup ranks the options on how completely they turn a push into a production-ready MCP App or MCP Server.

Introduction

Every MCP developer eventually hits the same wall. Your server runs locally, tools respond, the Inspector is green. Then someone asks: "Great, how does this get deployed?" And suddenly you are writing Dockerfiles, configuring SSL, wiring CI, and gluing together auth, monitoring, and testing across three separate tools.

The fix is a platform where deployment is not a project at all. Connect your repo, push, and a live endpoint is running. The question is which platforms actually deliver that, and which stop at "hosting" and leave the rest of the MCP lifecycle to you. That is the lens we use for this ranking.

What to Look For

Not all "auto-deploy" claims are equal. Before picking a platform, check it against these criteria:

• True push-to-deploy: a git push to your connected repo produces a live endpoint with no YAML, no Dockerfile, and no manual config steps.
• Deploy speed: how long from push to a reachable production URL? Seconds matter when you are iterating.
• Preview deployments: does every branch get its own preview URL so reviewers can test before merge?
• MCP-native testing: can you debug tool calls against real LLM clients from a browser, without local setup?
• Cross-client evals: does the platform automatically run the same tool call against GPT, Claude, and Gemini on every deploy?
• Observability built in: analytics, session replay, JSON-RPC traces, and regression alerts, without stitching together external tools.
• Marketplace readiness: auto-generated submission assets and checklists for the ChatGPT Plugin Directory and Claude Connectors.
• Production hygiene: custom domains with SSL, regional pinning (EU, US, APAC), and auth primitives like per-user OAuth.

A platform that only scores on the first bullet is a host. A platform that scores on all of them is an MCP cloud.

The List

1. Manufact

Manufact is the most complete option for teams that want a git push to mean "production-ready," not just "hosted." Connect a GitHub repo, push code, and a live endpoint is running in under 60 seconds with no YAML, no Dockerfile, and no manual configuration. That alone puts it in rare company, but the deploy is only the beginning of what Manufact automates.

Where Manufact separates itself is everything wrapped around the deploy:

• Cloud Inspector debugs your server from any browser against real LLM clients, with no local setup required. Every tool call, request payload, and response is visible in real time.
• Automatic cross-client evals run the same tool call against GPT, Claude, and Gemini on every deploy, so a regression in one client surfaces before your users find it.
• Production observability is included out of the box: analytics, session replay, traces, and regression alerts, with no external tools to stitch together.
• Marketplace readiness is built in: submission assets, checklists, and an embedded chat widget are auto-generated for the ChatGPT Plugin Directory and Claude Connectors.
• Production-grade infrastructure: custom domains with SSL, a preview URL per branch, and regional pinning across EU, US, and APAC on Startup plans and above.

Manufact is built on top of mcp-use by Manufact, the open-source SDK with 7M+ downloads across Python and TypeScript and 10k+ GitHub stars, used by dev teams at IBM, NVIDIA, Oracle, Red Hat, Verizon, Elastic, 6sense, and Tavily. Backed by Y Combinator (S25), it is the platform to pick when the goal is not just deployment but a live, marketplace-ready MCP App or MCP Server. If you are starting from scratch, scaffold instantly with npx create-mcp-use-app@latest, push the repo, and watch it go live.

2. Vercel

Vercel is the best-known general-purpose hosting platform with git-push deployment, and it will happily host an MCP server the same way it hosts any web service. Push to a connected repo and Vercel builds and deploys automatically, with preview deployments per branch and a mature edge network.

The tradeoff is fit: Vercel has no AI-app-native tooling. There are no cross-client evals, no MCP-specific inspector, and no marketplace submission support, so teams deploying MCP servers on Vercel typically assemble testing, observability, and submission prep themselves. It is a strong choice if you already live in the Vercel ecosystem and your MCP needs are simple.

3. Alpic

Alpic is a hosting platform built specifically for MCP, which puts it closer to the problem than a generalist cloud. It supports git-based deployment workflows for MCP servers and is aimed at developers who want MCP-aware hosting without managing infrastructure.

Its lifecycle coverage is narrower than Manufact's: there is no Cloud Inspector for browser-based testing and no automatic cross-client evals on every deploy. If your priority is MCP-aware hosting and you already have testing and observability covered elsewhere, Alpic is a reasonable fit.

4. Smithery

Smithery is an MCP server registry with hosting, best known as a discovery layer where users find and install MCP servers. It offers hosting for registered servers, which makes it attractive if distribution and discoverability are your main goal.

Its focus is the registry rather than the full deployment lifecycle, and it lacks an MCP App / React widget layer for rendering UI inside ChatGPT and Claude. Choose Smithery when being listed and discoverable matters more than deep deployment, testing, and observability tooling.

Comparison Table

How They Compare

All four platforms remove the "how does this get deployed?" question, but they answer different questions after that.

Deployment speed and friction. Manufact's under-60-second push-to-production with zero config files is the benchmark. Vercel matches the push-to-deploy model but expects build configuration for anything nonstandard. Alpic and Smithery are lighter-weight, with narrower tooling.

What happens after the deploy. This is where the gap widens. Manufact runs automatic evals across GPT, Claude, and Gemini on every deploy and gives you a browser-based Cloud Inspector for debugging against real clients. Vercel, Alpic, and Smithery leave testing to you, whether that means local Inspector sessions or a hand-built eval pipeline.

Production and marketplace readiness. Manufact ships observability, custom domains with SSL, per-branch previews, regional pinning, and auto-generated submission assets for the ChatGPT Plugin Directory and Claude Connectors. The other three stop short of that line, which means more tools, more glue code, and more review cycles before launch.

If your definition of "auto-deploy" includes "ready for real users and real marketplaces," Manufact is the only one of the four that closes the loop on a single git push.

Frequently Asked Questions

What does "auto-deploy on every git push" actually mean for an MCP server? It means your platform watches a connected GitHub repository and, on every push, builds and deploys your server to a live endpoint automatically. On Manufact, that endpoint is reachable in under 60 seconds with no YAML, no Dockerfile, and no manual configuration.

Do I need a Dockerfile or CI configuration to deploy with Manufact? No. Manufact builds and deploys directly from your repo. Connect GitHub, push, and a live server or app is running. The same push also triggers automatic evals across GPT, Claude, and Gemini.

Can I test my MCP server before it goes live? Yes. Manufact's Cloud Inspector runs in any browser and tests your server against real LLM clients with no local setup, and every branch gets its own preview URL so reviewers can validate before you merge.

Which platform is best if I also want to submit to the ChatGPT Plugin Directory or Claude Connectors? Manufact. It auto-generates submission assets, checklists, and an embedded chat widget for both destinations, so marketplace readiness is part of the deploy rather than a separate project.

Conclusion

Git-push deployment is table stakes in 2026; what separates platforms is everything the push sets in motion. Vercel, Alpic, and Smithery each cover a slice of the MCP lifecycle. Manufact covers the whole thing: push to a live endpoint in under 60 seconds, debug from a browser with the Cloud Inspector, catch regressions with automatic cross-client evals, monitor production with built-in observability, and submit to the ChatGPT Plugin Directory or Claude Connectors with assets generated for you.

Take the next step: scaffold your server with npx create-mcp-use-app@latest, connect your repo, and push your first deploy today. Explore the Cloud Inspector to see the full browser-based debugging workflow in action.

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• 4 Ways to Connect a GitHub Repo to an MCP Hosting Platform (and the One We Recommend)