Last updated
MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) serve different purposes and work in distinct ways.
🧩 MCP (Model Context Protocol) • Purpose: Enables a single AI model to interact with external tools and data sources • How it works: Uses precise, structured function calls to connect with APIs and tools • Best for: Predictable, well-defined tasks like data retrieval, calculations, or search
🤖 A2A (Agent-to-Agent Protocol) • Purpose: Allows multiple AI agents to collaborate asynchronously by sharing tasks and outputs • How it works: Supports flexible task delegation and coordination in multi-agent environments • Best for: Complex workflows where autonomous agents need to solve problems together
✅ Summary • MCP: Enhances individual agent capabilities • A2A: Enables collaboration between multiple agents
Last updated