Friday, October 03, 2025

AI: MCP, A2A, ACP Protocols

AI Agent Protocols Explained: MCP, A2A, ACP and More - YouTube

Message from AnswerRocket

FeatureMCPA2AACP
Primary PurposeConnects AI to tools and data sourcesConnects AI agents to other AI agentsEnables local agent coordination
Initiated ByAnthropicGoogle and partnersIBM/BeeAI
Best ForTool discovery and data accessMulti-agent collaboration across platformsEdge computing and local environments
Design FocusSimplifying context accessAgent interoperabilityLow-latency, offline operation
SecurityBasic; evolved from hobbyist projectEnterprise-grade by designLocal sovereignty, no cloud dependency
Communication StyleTool invocationTwo-way agent communicationEvent-driven messaging
Network RequirementsInternet/cloud-basedInternet/cloud-basedCan operate offline
Ideal EnvironmentEnterprise cloud applicationsCross-platform agent ecosystemsEdge devices, robotics, IoT



An Unbiased Comparison of MCP, ACP, and A2A Protocols | by Sandi Besen | Medium

MCP, ACP, A2A, Oh my! — WorkOS Guides

MCP vs A2A vs ACP: AI Protocols Explained | Bluebash


GitHub - Tsadoq/a2a-mcp-tutorial: A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google

GitHub - GongRzhe/A2A-MCP-Server: A mcp server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.