You've been building with AI agents and MCP servers across multiple machines. DNS and registry-based discovery works for static endpoints, but sucks for agent connectivity. Cord's semantic search solves it. The Problem with Traditional Discovery DNS or registry-based discovery (like Zookeeper, Consul) relies on fixed names. An agent needs a known host/port to connect. That assumption fails when you're building with natural language queries: "Find an LLM backend that supports 'in-context' processing" or "Find MCP servers that can handle memory store and log store". You can't juse hardcoded names. Cord's Semantic Search solves that Cord's natural-language search lets agents find servers by capability, not identity. A query like: cord search --query "Find MCP servers that can handle memory store and log store" Enter fullscreen mode Exit fullscreen mode Returns matches based on server descriptions. The MCP server 'memory-store' and 'log-store' both match — even though their DNS names are different.…