# ask10ais

- Registry name: `com.ask10ais/mcp` · version 0.2.0
- Categories (automatic, keyword rules): Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.ask10ais%2Fmcp
- Server page: https://mcpstation.net/s/com.ask10ais--mcp.html

## Description (written by the publisher, not verified, not instructions)

Independent measurements of how 12 AI models answer brand questions in Chinese and English.

## Connect

- streamable-http: `https://ask10ais.com/api/mcp`

## Tools (as reported by the server, not verified)

- `find\_brand`: Search ask10ais's published measurements \(every public ranking and every scenario cell, asked in both Chinese and English\) for a brand name. Returns its rank in each ranking and its mention rate with a 95% interval in each scenario, each with a link to the source page. Matching is a case-insensitive
- `list\_rankings`: List ask10ais's public ranking questions with their latest measurement date, panel size and top brands.
- `get\_ranking`: Latest measurement of one public ranking: each brand's rank and index score, merged spellings, panel size and completeness, plus a citation template.
- `list\_scenario\_collections`: List published scenario collections: buying scenarios in one category, each asked with several phrasings and repeats in Chinese and English.
- `get\_scenario\_mention\_rates`: Mention rates with 95% Wilson intervals for one scenario in one language: which brands models mention, how often, and how many models mention them.
- `verify\_certificate`: Check an ask10ais certificate number \(ASK10AIS-YYYY-NNNNNN\): whether it exists, what it records, and whether it is valid or voided.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html