llmaudit-mcp
MCP server for llmaudit.app. Ask your assistant whether a brand actually shows up when buyers ask AI for a recommendation, and get the measured answer: which buyer questions the brand won, which competitors were named instead, and which providers answered.
Free, no signup, no API key. One measurement per domain every 30 days.
Install
Most clients accept the hosted endpoint directly. Use that when you can:
{"mcpServers":{"llmaudit":{"url":"https://mcp.llmaudit.app/mcp"}}}
Claude Code:
claude mcp add --transport http llmaudit https://mcp.llmaudit.app/mcp
For clients that only launch a local command (the Claude Desktop config file, for example), this package bridges stdio to the same server:
{"mcpServers":{"llmaudit":{"command":"npx","args":["-y","llmaudit-mcp"]}}}
Requires Node 18+. Nothing runs locally except the bridge: the measurement happens on the server, which holds the provider keys.
What it exposes
start_visibility_check: starts a measurement for a brand (name, website, category, optional competitors, location and language) and returns a runId. Takes about a minute, because the buyer questions are asked live to OpenAI, Anthropic and Gemini.
get_visibility_check: collects the result with the runId. Returns running until the providers answer, then a verdict in three bands and the counts.
llmaudit://methodology: how the measurement works.
Try it: "Measure how Acme (acme.com), a project management tool, shows up in AI recommendations against Asana and Monday."
What it returns, and what it does not
It returns the measured map: the buyer questions that were actually asked and who won each answer. It never returns a provider's self report (what a model believes about a brand), because in practice that number is the optimistic one and can be off by an order of magnitude. There is no 0 to 100 score either: a verdict in three bands and counts you can check.
There is no email field. The tool cannot send a result email to anyone.
Options
LLMAUDIT_MCP_URL: override the endpoint (staging).
- Any extra argument is passed through to mcp-remote, which does the transport.
Source
Server code, tests and fixtures: github.com/nahuelsoria/llmaudit-mcp. Developer docs: llmaudit.app/developers.