What does MCP actually do for AI agents?

MCP standardizes agent connections to tools, data sources, and external systems—like a universal API plug for SaaS, databases, and docs.

How is A2A different from MCP?

A2A handles agent-to-agent communication: task delegation, state sharing, and coordination across independent agents or vendors.

Strong signs yes—MCP's at 10k servers with broad adoption; A2A's Linux Foundation governance and 100+ partners point to infrastructure status.

🤖 AI & Machine Learning

Everyone's pitting A2A against MCP like it's a cage match. Wrong. They're the TCP and HTTP of AI agents, each owning its lane.

theAIcatchup Apr 10, 2026 3 min read

MCP dominates tool interoperability with 10,000+ servers and adoption in major tools like ChatGPT and Copilot. 𝕏
A2A complements MCP by focusing on agent-to-agent coordination, backed by Google and Linux Foundation. 𝕏
Use both in 2025 stacks: MCP for tools/context, A2A for collaboration—mirroring USB and Bluetooth in hardware. 𝕏

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Community-driven. Code-first.

#A2A protocol #AI agent interoperability #AI agents #Linux Foundation AI #MCP #agent stack 2025 #interoperability

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Originally reported by Dev.to