Ross ROSS = Recommend OSS · open-source software intelligence for agents

themanojdesai/python-a2a

Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating interoperable agent ecosystems that can collaborate to solve complex problems. observed · 2026-08-28

github.com/themanojdesai/python-a2a · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

37/100

  • Activity 40
  • Release rhythm 35
  • Longevity 36

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 511
  • days_rel: n/a
  • days_push: 361
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1008 stars · 143 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Python A2A is a Python library implementing Google's Agent-to-Agent (A2A) protocol with Model Context Protocol (MCP) integration. It enables AI agents to communicate and collaborate across different implementations through a standardized JSON-RPC 2.0-based protocol.

Use cases

  • build interoperable AI agent ecosystems
  • implement Google's A2A protocol in Python
  • connect AI agents to external tools via MCP
  • create multi-agent systems that collaborate on complex tasks
  • expose an LLM-powered agent as an A2A-compatible server
  • integrate OpenAI, Anthropic, or AWS Bedrock models into agent workflows

When to choose

  • you need agents from different frameworks or vendors to talk to each other
  • you want a Pythonic, well-documented implementation of the A2A protocol
  • you need MCP support for giving agents access to external tools and data
  • you're building production multi-agent systems with stdio or SSE transports

When to avoid

  • you only need a single-agent chatbot with no agent-to-agent communication
  • you're locked into a framework that already provides native A2A support
  • you need a non-Python implementation of the protocol

Facets

library · maturity active

agent-framework rpc mcp llm-inference api-framework large-language-models apis developer-tools python cross-platform a2a-protocol agent-to-agent multi-agent-systems -rpc interoperability google-a2a ai-agents

2 sources

Member repositories

RepositoryRoleHealth v2
themanojdesai/python-a2amain37

For agents

markdown · JSON · MCP: product_card(name="themanojdesai/python-a2a")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem