AutoMCP: Convert Agents to MCP Servers

AutoMCP: Convert Agents to MCP Servers

Easily Deploy Your Existing AI Agent Projects as MCP Servers

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A library and platform to easily convert and deploy your existing agent and multi-agent projects as MCP servers for use with MCP clients like Cursor and Claude Desktop.
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Free
Launch tags:Developer Tools•Artificial Intelligence•Tech
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
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What do you think? …

Richard Blythman
AutoMCP: Convert Agents to MCP Servers
Maker
📌
Built something with CrewAI, LangGraph, LlamaIndex, OpenAI’s Agents SDK, Pydantic AI, or mcp-agent? Now you can turn it into an MCP server without modifying any project code. To use an existing agent that you’ve built via MCP clients like Cursor, you shouldn’t need to be a backend engineer. That’s why we built AutoMCP. Just add the automcp library to your project, run our CLI, and we’ll scaffold a run_mcp.py file. With a few small edits, you're up and running locally. Even better, we built a platform to deploy your existing agent codebase: 🖥️ Paste your GitHub repo ⚡ Click deploy 🔗 Get a live MCP server URL It’s like Vercel or Heroku — for AI agents. We’re working on streamlining the user flow, as well as building a publishing layer so you can share, remix and compose agents across the ecosystem. 🎥 Try the CLI, use the deployment platform and watch the demo: https://auto-mcp.com We’d love to hear what you're building, and what you want to build next.
Supa Liu

This is exactly what’s needed to bring more flexibility to the agent ecosystem. Making it easier to deploy existing projects into MCP-compatible environments is a big win.

Ryden Sun
Elisi : AI-powered Goal Management App

This is 🔥 — AutoMCP feels like the missing piece for making agent infra actually usable.


Being able to turn any project into an MCP server with almost zero refactoring is a huge unlock, especially for devs who just want to ship and not get bogged down in backend scaffolding. The Vercel-for-agents angle is super compelling too — deploy from GitHub and you’re live? Yes, please.


Really excited about the publishing/remix layer you mentioned — feels like it could power an entirely new ecosystem of reusable agent behaviors.


Massive congrats on the launch. Can’t wait to see how this evolves! 🚀

Jason Yu
HabitGo

Wow — AutoMCP makes deploying AI agents so much easier. Love that you can go from GitHub repo to live MCP server in one click. Great job on removing friction for devs 👏

Leo

Google introduced A2A, the Agent-to-Agent protocol. What are your thoughts on it?

Richard Blythman
AutoMCP: Convert Agents to MCP Servers
Maker

@tibelf we've already implemented a PoC to convert from existing agent projects to A2A servers. we could go live with it in the next week or two if its something that users would be interested in. would you find this useful?

Jun Shen

Excited about automating AI project conversions to MCP servers! 😄