Show HN: Convert existing agent projects from different framewrks to A2A servers

11 points

a year ago

Deploying an A2A server for your agent makes it easier to interface and compose with agents written in different frameworks and languages, or within different apps and devices.

But manually creating an A2A server involves some friction. We believe that, to deploy an existing agent that you’ve built as an A2A server, you shouldn’t need to worry about the backend.

If you've built agents with CrewAI, LangGraph, LlamaIndex, OpenAI’s Agents SDK or Pydantic AI, you can now turn it into an A2A server without modifying any project code.

Just add the autoa2a library to your project, run the CLI, and we’ll scaffold the project as an A2A server. Make some edits to indicate the agent you want to convert (and the input schema) and you can deploy locally or on our hosted platform.

We also created a demo of a deployment platform where you can enter the GitHub URL of your agent project (with AutoA2A), deploy with one click, and get a URL for the hosted server that can be used with A2A clients like Cursor. Think of it like Vercel for MCP servers.