askedthrice-mcp
MCP serverDev toolsaskedthrice measures whether AI assistants actually recommend a brand, working from measured answers. Once added, your AI can run these checks and tell you if a brand is genuinely being recommended. It turns a vague question into a measured result.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, tell your AI which brand to check and ask it to measure whether that brand is being recommended.
Then ask your AI: use askedthrice-mcp to get visibility check
What your AI can do with it
- Measure whether AI assistants recommend a specific brand
- Base results on measured answers rather than impressions
- Report whether a brand is actually recommended
- Run brand recommendation checks whenever asked
From the project's README
As published by nahuelsoria/llmaudit-mcp in README.md.
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.
Tools it offers (2)
What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
get_visibility_checkstart_visibility_check
Signals
- GitHub stars
- 1
- Last commit
- Aug 2026
- Weekly downloads
- 65
Advanced
- Delivery
- askedthrice MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
com-askedthrice-askedthrice- Source
- github.com/nahuelsoria/llmaudit-mcp
- Hosted endpoint
https://mcp.askedthrice.com/mcp