Easily deploy your existing AI agent projects as MCP servers
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.
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.
