parchuric/multi-agent-python-a2a-mcp-app

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parchuricMITUpdated 1y agoGitHub

"Multi-Agent Python Application with A2A and MCP"

This project demonstrates a multi-agent system using LangGraph, with support for Google's Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP). This multi-agent AI system can answer different types of questions by routing them to specialized agents. Think of it as a team of experts working together where: One expert analyzes your question Another expert decides who should answer it…

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9GitHub stars
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1y agoLast update
Package
Authorparchuric
LicenseMIT
Sourcegithub
GitHubparchuric/multi-agent-python-a2a-mcp-app
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
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✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
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Provenance—
DependenciesNot audited
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IndexedJun 13, 2026

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No tool declarations found in the source3mo ago

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About

This project demonstrates a multi-agent system using LangGraph, with support for Google's Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP). This multi-agent AI system can answer different types of questions by routing them to specialized agents. Think of it as a team of experts working together where: One expert analyzes your question Another expert decides who should answer it Specialized experts (for weather, sports, news, stocks, or health) provide information Another expert…

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