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The LLM Stats MCP server gives AI agents access to the model catalog, benchmark scores, rankings, and pricing over the Model Context Protocol. One workflow tool (compare-run) also runs prompts through the inference gateway and returns latency, tokens, and cost per model. The server is hosted and read-only over the Stats API. Cursor, Claude Code, Claude Desktop, Continue, and ChatGPT Apps connect directly.

Setup

Point your MCP client at the hosted server. No installation required.
Add this to your Cursor MCP settings (.cursor/mcp.json):

Authentication

The MCP server uses the same ze_... key as the Stats API and the Gateway API. You don’t need to provision a second key. Get yours from the developer console.
The same ze_... Bearer token authenticates the Stats API, the inference gateway, and the MCP server. Provision once, use everywhere.

Tools

Read tools

Read tools are safe to call at any time. They don’t modify state and don’t consume gateway credits.

Workflow tools

Workflow tools chain multiple API calls. They’re still read-only.

Gateway tools

Gateway tools call the inference gateway. The same ze_... key authenticates them.
compare-run hits the gateway and consumes credits. It’s annotated readOnlyHint: false and openWorldHint: true so MCP clients can prompt for approval before calling.

Resources

Seven MCP resources are available for introspection and reference lookups.

Slash-command prompts

Four MCP prompts show up as slash-commands in clients like Cursor and Claude Desktop.

Interactive widgets

Seven tools render an interactive widget alongside a markdown summary. MCP Inspector, ChatGPT Apps, Cursor, Claude Desktop, VS Code, and Goose render both. Text-only clients fall back to the markdown.