About LLM Audit
LLM Audit is an MCP server for measuring whether a brand appears in live AI-generated buyer recommendations. It returns observed answers and a three-band verdict with counts, rather than a model’s self-reported view.
Key features
- 01Start and retrieve visibility checks
- 02Measure live buyer recommendations
- 03Return observed answer map
- 04Provide methodology as a resource
- 05Apply domain and monthly run limits
Use cases
- 01Check whether buyers hear about a brand from AI
- 02Review which brands win recommendation answers
- 03Track visibility checks by domain
MCP support
The server exposes `start_visibility_check` and `get_visibility_check` tools, plus the `askedthrice://methodology` resource. It is available as a hosted Streamable HTTP endpoint or through the `askedthrice-mcp` stdio bridge.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.llmaudit.app/mcpclaude mcp add --transport http app-llmaudit-llmaudit https://mcp.llmaudit.app/mcp{"mcpServers":{"app-llmaudit-llmaudit":{"type":"http","url":"https://mcp.llmaudit.app/mcp"}}}Open in Cursor{"servers":{"app-llmaudit-llmaudit":{"type":"http","url":"https://mcp.llmaudit.app/mcp"}}}Open in VS Code{"mcpServers":{"app-llmaudit-llmaudit":{"type":"http","url":"https://mcp.llmaudit.app/mcp"}}}{"mcpServers":{"app-llmaudit-llmaudit":{"serverUrl":"https://mcp.llmaudit.app/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
2| Parameter | Type | Required | Description |
|---|---|---|---|
| runId | string | Yes | From start_visibility_check |
Details
From the project READMEaskedthrice-mcp
MCP server for askedthrice.com. Lets anyone's assistant measure whether a brand shows up when buyers ask an AI for a recommendation.
Hosted at https://mcp.askedthrice.com/mcp (streamable HTTP). Listed in the official MCP registry as com.askedthrice/askedthrice. The stdio bridge for clients that only launch local commands is the npm package askedthrice-mcp, in npm/.
Full spec: specs/features/geo-13-mcp-server.md in the private llm-rank-tracker repo.
Install
{"mcpServers":{"askedthrice":{"url":"https://mcp.askedthrice.com/mcp"}}}
or, for command-only clients:
{"mcpServers":{"askedthrice":{"command":"npx","args":["-y","askedthrice-mcp"]}}}
What it exposes
start_visibility_checkstarts the measurement and returns arunId.get_visibility_checkcollects it. Returnsrunninguntil the providers answer.askedthrice://methodologyexplains how it is measured.
Two tools rather than one because a measurement takes up to two minutes: the audit is 15 to 60 s and the measured map another 15 to 60 s.
What it returns, and what it does not
It returns the measured map: the buyer questions that were asked live and who won each answer. Never the providers' self-report, which is what each model believes about the brand. The two numbers drift apart a lot in practice, and the self-report is always the optimistic one; that is why the tool contract does not expose it in any field.
It never returns a 0 to 100 score: a verdict in three bands and counts.
Money
Every free measurement spends askedthrice's API keys, on the order of USD 0.05 to 0.15. Three guards, all covered by tests:
- One free measurement per domain every 30 days, checked BEFORE the API is called.
MCP_MONTHLY_RUN_LIMIT(default 200) as the channel ceiling, separate from the web funnel budget.- Rate limiting in prod counts by client identity, not by this server's IP, which rotates on serverless.
Env
| Variable | Purpose |
|---|---|
LLMAUDIT_API_BASE_URL | API base. Default https://askedthrice.com |
MCP_SERVER_KEY | Key shared with llm-rank-tracker. Without it prod buckets by IP |
SUPABASE_URL / SUPABASE_SERVICE_ROLE_KEY | mcp_runs table. Without them the store is in memory and does NOT work on serverless |
MCP_MONTHLY_RUN_LIMIT | Monthly ceiling of runs for the channel |
Channel usage
npm run stats reads mcp_runs and reports how much of the monthly ceiling is left, who called, which domains were measured and which one currently holds the 30-day quota.
node --env-file <file.env> scripts/stats.mjs
node --env-file <file.env> scripts/stats.mjs --days 30 --history 180
Needs SUPABASE_URL (or NEXT_PUBLIC_SUPABASE_URL) and SUPABASE_SERVICE_ROLE_KEY. --days is the daily detail, --history how far back it looks; the current month is always included in full, because that number has to match the guard's.
The first thing it prints, when there are any, is the orphaned runs: reserved rows that never got their audit_id. They return "Unknown runId" to the client forever while holding their domain's free quota and counting against the monthly ceiling. Delete them by run_id.
Vercel Web Analytics cannot measure this: it works by injecting a script into HTML, and here there is no HTML and no browser to run it, every request is a JSON-RPC call from an MCP client. It would read zero forever.
Docker (directory checks)
Dockerfile builds the HTTP server and serves it on 0.0.0.0:3001, which is what Glama and similar directories run to verify the server starts and answers introspection. Port and host are read by xmcp.config.ts at build time, so they go as ENV before npm run build, not at docker run. Without SUPABASE_* the run store is in memory: fine for a check, not for serving traffic.
Development
npm run dev # xmcp dev
npm test # vitest, no network
npm run build # xmcp build
Tests run against real fixtures in fixtures/ (already-paid runs from prospecting). None of them touch the network or call a provider.
Publishing a new registry version
server.json is published with mcp-publisher using DNS auth on askedthrice.com. The key lives outside the repo as a PEM; the CLI wants the raw ed25519 seed in hex:
HEX=$(openssl pkey -in <key.pem> -noout -text | sed -n '/^priv:/,/^pub:/p' | grep -v '^priv:\|^pub:' | tr -d ' :\n')
mcp-publisher login dns --domain askedthrice.com --private-key "$HEX"
mcp-publisher publish server.json
Bump version in server.json on every publish; the registry rejects a repeat. When the npm package changes version, update packages[0].version too.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.