MetaGPT
★ 71.0k
vs
A2A_ADK_MCP
★ 11
MetaGPT vs A2A_ADK_MCP
MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.; A2A_ADK_MCP: 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.
01
TL;DR
MetaGPTMulti-Agent · ★ 71.0k
When to choose:
- You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
- You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
When to skip:
- You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
- You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
A2A_ADK_MCPMulti-Agent · ★ 11
Developing intelligent applications using multi-agent paradigms.
02
Side-by-Side Comparison
Field
Category
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 11
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
git clone https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip && cd A2A_ADK_MCP && pip install -r https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip
Updated
9mo ago
8mo ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
Multi-Agent Systems, Google ADK, A2A Protocol
03
Features
01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
01Easy Integration
02Scalability
03Real-time Communication
04Customizable Agents
05Robust Documentation
04
Use Cases
↳Data Interpreter
↳Debate
↳Researcher
↳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
Best For
Most PopularEssential
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FAQ
FAQ
What is the difference between MetaGPT and A2A_ADK_MCP?
Both MetaGPT and A2A_ADK_MCP are in the Multi-Agent category. MetaGPT has 71.0k stars, while A2A_ADK_MCP has 11 stars.
Which is better, MetaGPT or A2A_ADK_MCP?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and A2A_ADK_MCP if Developing intelligent applications using multi-agent paradigms..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is A2A_ADK_MCP free or open source?
Yes, A2A_ADK_MCP is open source on GitHub (Apache-2.0).
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