Alternatives

Products that do what AutoA2A: Convert Agents to A2A Servers does

Easily Deploy Your Existing AI Agent Projects as A2A Servers

1. 1CE
   Convert existing agent projects from different framewrks to A2A servers▲11

   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…

   2025 · github.com

2. 2
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3. 3
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4. 4
   AutoMCP▲150

   Easily deploy your existing AI agent projects as MCP servers

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5. 5
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   Open-source prompt management & evals for AI teams

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6. 6
   Agentplace 2.0▲192

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7. 7
   Automa▲606

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8. 8
   A2A Net▲28

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9. 9
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10. 10
    Agents Base▲490

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11. 11
    Latitude 2.0▲516

    The 1st agent that builds agents

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12. 12
    A2A Registry▲14

    Live AI agents directory - find production-ready agents now

    2025

13. 13AA
    An A2A-compatible, open-source framework for multi-agent networks▲42

    Nov 2025 · github.com

14. 14
    apra-fleet▲87

    Run a fleet of AI agents across your machines

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15. 15AE
    Agent.exe, a cross-platform app to let 3.5 Sonnet control your machine▲406

    2024 · github.com

16. 16
    Open Agent Kit ▲165

    Build, customize, deploy – AI Agents your way with OAK

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17. 17
    A2A Agent List▲9

    Explore & Share A2A-Compatible AI Agents Easily

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18. 18
    A2A Directory▲15

    Comprehensive directory of A2A

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19. 19
    Latenode AI Agents Embedded▲124

    Pump up your SaaS with embedded AI agents

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20. 20
    A2A Protocol▲109

    Open standard for AI Agent2Agent collaboration

    2025

21. 21AL
    A library to convert+deploy existing agent projects as MCP servers▲22

    Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…

    2025 · github.com

22. 22
    AP2▲155

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23. 23
    Conversion Agent AI▲124

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24. 24
    A2A Protocol▲8

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