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2025-04-14

a2a‑go is a reference Go implementation of the Agent‑to‑Agent (A2A) protocol by Google, including the proposed interoperability with the Model Context Protocol (MCP) from Anthropic.

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🌈 A2A‑Go

"Combine A2A and MCP to create advanced agentic systems!"

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A2A‑Go

a2a‑go is a reference Go implementation of the Agent‑to‑Agent (A2A) protocol by Google, including the proposed interoperability with the Model Context Protocol (MCP).

🚧 Work in progress 🚧 Consider this project a proof of concept at best, and subject to sudden changes.

✨ Features

  • Agent‑to‑Agent (A2A) protocol implementation

    • Send Task to send a new task to an agent
    • Get Task to retrieve a task by ID 🔜
    • Cancel Task to cancel a task 🔜
    • Stream Task to stream the task results 🔜
    • Set Push Notification to configure push notifications for a task 🔜
    • Get Push Notification to retrieve the push notification configuration for a task 🔜
    • Structured Outputs to return structured data from an agent
    • Fine‑tuning to fine‑tune an agent on a dataset
    • Image Generation to generate images with an agent
    • Audio Transcription to transcribe audio
    • Text‑to‑Speech to convert text to speech
  • Model Context Protocol (MCP) interoperability

    • Tool Calling to call tools and receive the results
    • List Prompts to retrieve a list of prompts from an agent 🔜
    • Get Prompt to retrieve a prompt by ID 🔜
    • Set Prompt to create or update a prompt 🔜
    • Delete Prompt to delete a prompt by ID 🔜
    • List Resources to retrieve a list of resources from an agent 🔜
    • Get Resource to retrieve a resource by ID 🔜
    • Set Resource to create or update a resource 🔜
    • Delete Resource to delete a resource by ID 🔜
    • Sampling to sample a task from an agent 🔜
    • Roots to get the root task for a task 🔜
  • Built‑in tools

    • Browser to browse the web 🔜
    • Docker to run Docker commands 🔜
    • GitHub to search GitHub 🔜
    • Memory to store and retrieve memories 🔜
    • Qdrant to store and retrieve vectors 🔜
    • Neo4j to store and retrieve graph data 🔜

🚀 Quick Start

Run the docker-compose.yml for a full distributed system, demonstrating A2A and MCP interoperability.

docker compose up

To run individual, more contained examples, use the example cli command.

a2a-go example <example-name>

Add the --interactive flag to run the example in interactive mode.

a2a-go example <example-name> --interactive

All example code lives in the examples directory.

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    Reviews

    3 (1)
    Avatar
    user_ZBDcKxGW
    2025-04-24

    As a devoted user of the mcp application, I find a2a-go by TheApeMachine to be incredibly effective. This product streamlines my workflow, making it hassle-free to manage tasks. The user interface is intuitive, and the functionality aligns perfectly with my daily needs. Highly recommend for anyone looking to boost their productivity!