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.
Cursor
Claude Code
Claude Desktop
Continue
ChatGPT Apps
Other clients
Add this to your Cursor MCP settings (.cursor/mcp.json): Add this to claude_desktop_config.json: Add this to your Continue config.json: Configure your app with the hosted MCP URL and store the Bearer token in your platform’s secrets manager. ChatGPT renders every widget the server exposes. Any client that supports HTTP transport works. Set the server URL to https://mcp.llm-stats.com/mcp and pass your API key in the Authorization: Bearer header.
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.
Read tools are safe to call at any time. They don’t modify state and don’t consume gateway credits.
Workflow tools chain multiple API calls. They’re still read-only.
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.
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.