We scanned 4,162 MCP servers. 73% are invisible to AI agents.

There are 4,162 MCP servers registered on Smithery right now. The Python and TypeScript SDKs see 97 million monthly downloads. Every major AI provider has adopted MCP. But nobody had measured the quality of these tools. We built ToolRank , an open-source scoring engine that analyzes MCP tool definitions across four dimensions. Then we pointed it at the entire Smithery registry. The biggest finding wasn't about quality. It was about visibility. 73% of MCP servers are invisible Out of 4,162 registered servers, only 1,122 expose tool definitions that agents can read. The remaining 3,040 — 73% — have no tool definitions at all. They're registered, but when an AI agent searches for tools, these servers don't exist. They have no name, no description, no schema. They are invisible. This is the equivalent of having a website with no indexable content. Google can't rank what it can't read. Agents can't select what they can't see. Among the visible: average score 84.7/100 For the 1,122 servers t