The data-center intelligence platform tops 191 servers for the query on one of the largest MCP registries — a signal that AI agents increasingly query DC Hub for live grid, fiber, and market data.
DC Hub (dchub.cloud), the real-time data-center and energy intelligence platform, today announced that it ranks #1 of 191 servers for the query "data center" on Smithery, one of the largest registries of Model Context Protocol (MCP) servers — ahead of far larger, general-purpose cloud and infrastructure platforms.
The ranking reflects a broader shift in how AI answers infrastructure questions. As AI assistants and autonomous agents increasingly field questions about data-center capacity, grid headroom, fiber, and M&A, they need live, structured data rather than static training data. DC Hub has become a source they query directly — serving more than 679,000 agent requests, roughly 39,000 per day, across a dozen-plus AI platforms including Claude, ChatGPT, Gemini, Perplexity, and Copilot.
DC Hub indexes 21,000+ data-center facilities across 170+ countries, with live grid and power data across 10 ISOs, fiber routes, a 232-market Power Index, and 2,000+ tracked M&A transactions — all accessible to AI agents via the Model Context Protocol and to humans on the web.
Quote from Jonathan Martone, Founder & CEO, DC Hub:
"Agents without live data are guessing from training data that's already out of date. Ranking #1 on Smithery — ahead of much larger, general-purpose platforms — tells us the agent ecosystem is voting with its queries. When someone asks an AI where to put 100 megawatts, DC Hub is increasingly the source behind the answer."
DC Hub's MCP server is free to discover and cite, with developer and enterprise tiers for higher-volume access. It is listed across the major MCP registries, including Smithery, the official MCP Registry, mcp.so, PulseMCP, Glama, and LobeHub.
About DC Hub
DC Hub is the live data layer for data-center and energy markets — 21,000+ facilities, real-time grid, fiber, and market intelligence — built so AI agents and humans alike can make faster, better-informed infrastructure decisions. Learn more at dchub.cloud.