A2A_ADK_MCP
Active·★ 11·Apache-2.0·Updated 2026-02-19
A2A_ADK_MCP combines Google's Agent Development Kit with the A2A communication protocol and MCP control protocol to build robust multi-agent systems. It provides an environment for creating scalable, real-time communicating, and customizable agents for various intelligent applications.
#Multi-Agent Systems#Google ADK#A2A Protocol#MCP Protocol#Agent Communication#Agent Control#Distributed Systems#Python
01
Features
01Easy Integration
02Scalability
03Real-time Communication
04Customizable Agents
05Robust Documentation
02
Compatibility
Python
Runtime
Verified via docs
03
Quick start
1
$ git clone https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip
2
$ cd A2A_ADK_MCP
3
$ pip install -r https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip
04
Use cases
↳Developing intelligent applications using multi-agent paradigms.
↳Managing complex tasks through collaborative agent interactions.
↳Coordinating actions and behaviors among multiple autonomous agents.
↳Enhancing existing applications with advanced multi-agent capabilities.
05
Alternatives
awesome-a2a★ 699
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
lumen★ 90
Lumen — open-source agentic AI tutor. Custom multi-agent orchestrator (no LangChain), course-scoped RAG over pgvector, golden evals in CI, observable traces, a 9-tool MCP server on the official registry. Live demo + public /eval.
CrewAI★ 60.0k
Framework for orchestrating role-playing, autonomous AI agents. By working together, your Crew can tackle complex tasks.
WRAI.TH★ 32
Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.
adk-python★ 22.0k
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Comments
Log in to leave a comment
No comments yet. Be the first!