Asked Thrice
Server Details
Measure whether AI assistants actually recommend a brand, from measured answers.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- nahuelsoria/llmaudit-mcp
- GitHub Stars
- 1
- Server Listing
- askedthrice-mcp
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools form a clear start/get pair with distinct roles: one initiates a measurement and the other retrieves its result. Although start_visibility_check is now closed, its description makes the boundary explicit.
Both tools follow a consistent snake_case verb_noun convention: start_visibility_check and get_visibility_check. The naming is predictable and easy to map to the lifecycle.
Two tools is thin for a server, especially since one is now effectively a closed/deprecated operation. The pair is well-scoped to a single measurement lifecycle, but the surface feels borderline minimal.
The surface only supports starting a check and retrieving one result, with no listing, history, cancellation, or account-related operations. Because start_visibility_check no longer starts measurements, agents can only read previously started checks if they already know the relevant identifier.
Available Tools
2 toolsget_visibility_checkGet visibility checkARead-onlyIdempotentInspect
Collect the result of a measurement started with start_visibility_check. Returns status running while the providers are still answering, so poll every 20 to 30 seconds. When ready it reports a verdict, how many of the buyer questions the brand won, which competitors were named instead, and which providers actually answered.
Inputs: runId (required).
start_visibility_checkStart visibility checkAInspect
Closed: Asked Thrice no longer runs free measurements. Calling it returns status closed and the link to the paid scan at askedthrice.com, which needs an account. Measurements started before the change can still be read with get_visibility_check.
Inputs: brand (required), website (required), category (required), language, +2 more.
Tool Schema Changelog
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Related MCP Connectors
Measure whether AI assistants actually recommend a brand, from measured answers.
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