How I Built a Universal MCP ↔ A2A Bridge: Architecture, Protocol Mapping, and What I Learned

The AI agent ecosystem is fragmenting into two incompatible standards. On one side, Anthropic's MCP (Model Context Protocol) lets AI models use tools. On the other, Google's A2A (Agent-to-Agent) lets agents collaborate. They can't talk to each other. I built Nexarion, a runtime bridge that translates between these protocols in real-time. Here's the architecture, the protocol mapping, and what I learned. The Problem Claude Desktop integrates with MCP servers to access tools like database...