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.
About AutoMCP on Product Hunt
“Easily deploy your existing AI agent projects as MCP servers”
AutoMCP launched on Product Hunt on April 15th, 2025 and earned 153 upvotes and 8 comments, placing #13 on the daily leaderboard. 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.
On the analytics side, AutoMCP competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how AutoMCP performed against the three products that launched closest to it on the same day.
Who hunted AutoMCP?
AutoMCP was hunted by Richard Blythman. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AutoMCP including community comment highlights and product details, visit the product overview.
Richard Blythman