Marketing

ask10ais.com

Provides tools to search and retrieve published AI brand rankings, scenario mention rates, and measurement data for brands across Chinese and English model responses.

1 endpoint6 known toolsFirst detected September 28, 2026Last detected October 11, 2026

ENDPOINT 1

https://ask10ais.com/api/mcp

No auth detected

MCP server metadata

Name: ask10ais
Version: 0.2.0

Capabilities

tools.listChanged

Server instructions

ask10ais (published by DATA4U PTE. LTD., Singapore) is an independent measurement of how AI models answer brand questions: ranking snapshots across a fixed panel of models, and mention rates with 95% intervals for buying scenarios asked in Chinese and English. All tools are read-only and return published data. Each result includes reading_rules that describe how its numbers can and cannot be read (for example, a single-run rank is not a trend, and overlapping intervals are not a lead). Each result also carries a citation_template with the measurement date and the url of the published page the numbers come from, so they can be attributed to ask10ais and checked. find_brand shows where a brand appears; list_rankings and list_scenario_collections list what has been measured. ask10ais measures only and does not provide advice on how to improve a ranking.

Known tools 6

find_brand

Search ask10ais's published measurements (every public ranking and every scenario cell, asked in both Chinese and English) for a brand name.

Inferred read-only

list_rankings

List ask10ais's public ranking questions with their latest measurement date, panel size and top brands.

Inferred read-only

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.

Inferred read-only

list_scenario_collections

List published scenario collections: buying scenarios in one category, each asked with several phrasings and repeats in Chinese and English.

Inferred read-only

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.

Inferred read-only

verify_certificate

Check an ask10ais certificate number (ASK10AIS-YYYY-NNNNNN): whether it exists, what it records, and whether it is valid or voided.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ask10ais]
url = "https://ask10ais.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ask10ais": {
      "type": "http",
      "url": "https://ask10ais.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ask10ais
Remote MCP URL: https://ask10ais.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "ask10ais": {
      "url": "https://ask10ais.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ask10ais": {
      "type": "http",
      "url": "https://ask10ais.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ask10ais",
  "transport": "streamable-http",
  "url": "https://ask10ais.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for ask10ais.com was fetched 2026-10-03T08:23:33.553Z.

Trust status Trusted

ask10ais.com is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.