MetaGPT
★ 71.0k
vs
mcp
★ 11
MetaGPT vs 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.; mcp: One MCP Server connects AI agents to over 700 applications, enabling them to search for actions, read documentation, and execute API calls across platforms. It simplifies complex API interactions by abstracting OAuth tokens and API keys, offering a unified interface for agent interaction.
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).
mcpMulti-Agent · ★ 11
Execute actions directly via natural language, like 'Get my last 5 emails from Gmail'.
02
Side-by-Side Comparison
Field
MetaGPTmcpCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 11
License
MIT
MIT
Install Command
pip install --upgrade metagpt
npm install -g @withone/cli && one init
Updated
9mo ago
2d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
AI Agents, API Integration, Workflow Automation
03
Features
MetaGPT01Accepts 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.
mcp01Connects AI agents to 700+ diverse platforms.
02Enables natural language execution of API actions.
03Prevents tool bloat, keeping agent context windows clean with search-based actions.
04Offers fine-grained access control to restrict agent permissions.
05Secure by default with all requests proxied and secrets automatically redacted.
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
mcp↳Execute actions directly via natural language, like 'Get my last 5 emails from Gmail'.
↳Generate integration code for various platforms, such as creating a React form component to send emails using Gmail.
↳Build dashboards or data displays by fetching data from connected apps, like a dashboard listing Linear projects.
05
Best For
MetaGPTMost PopularEssential
mcp—
FAQ
FAQ
What is the difference between MetaGPT and mcp?
Both MetaGPT and mcp are in the Multi-Agent category. MetaGPT has 71.0k stars, while mcp has 11 stars.
Which is better, MetaGPT or mcp?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and mcp if Execute actions directly via natural language, like 'Get my last 5 emails from Gmail'..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is mcp free or open source?
Yes, mcp is open source on GitHub (MIT).
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