MCP connects agents to tools. A2A connects agents to agents. Learn the key differences and how to decide which protocol your architecture actually needs.
ToolBench evaluated 219,444 tools across 43,467 MCP servers, confirming that LLM-to-system protocol connectivity is largely solved. Scaling production multi-user agents now depends on tool quality: context efficiency, delegated authorization, audits, and intent-optimized design—not protocol improvements.
Model Context Protocol (MCP), Explained If you've built an AI assistant or agent that...
MCP vs. Agent Skills: What's the Difference and Which Do You Need? As AI agents evolve...
AI agents are becoming more capable than simple chatbots. An agent can search the web, read files,...
MCP, A2A, or neither? Walk through 5 real agent architectures and learn which protocol fits each trust boundary—and when to skip both entirely.
Connecting an LLM to external systems has converged on an established set of open protocols that...