{
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      "kind": "mcp",
      "listed": "indexed",
      "liveUrl": "https://www.anchorterminal.com/api/v1/live/askedthrice.json",
      "markdownUrl": "https://www.anchorterminal.com/tools/askedthrice.md",
      "mcpTools": {
        "check": {
          "checker": "anchor-check/1.0",
          "totalTokens": 623,
          "counts": {
            "error": 0,
            "note": 1,
            "warn": 0
          },
          "findings": [
            {
              "rule": "TC24",
              "severity": "note",
              "message": "2 of 2 tools have no outputSchema",
              "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
            }
          ]
        },
        "checkedAt": "2026-10-04T22:22:09Z",
        "count": 2,
        "schemaTokens": 623,
        "status": "ok",
        "tools": [
          {
            "name": "get_visibility_check",
            "title": "Get visibility check",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "runId": {
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                  "description": "From start_visibility_check",
                  "type": "string"
                }
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              "required": [
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              "type": "object"
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            "annotations": {
              "destructiveHint": false,
              "idempotentHint": true,
              "openWorldHint": true,
              "readOnlyHint": true,
              "title": "Get visibility check"
            }
          },
          {
            "name": "start_visibility_check",
            "title": "Start visibility check",
            "description": "Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_visibility_check with it after about a minute. If the domain was already measured this month the response says quota_reached and includes when it ran.",
            "inputSchema": {
              "properties": {
                "brand": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "Brand name as customers write it",
                  "maxLength": 80,
                  "minLength": 2,
                  "type": "string"
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                "category": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "What the business sells, in plain words",
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                  "minLength": 2,
                  "type": "string"
                },
                "competitors": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "Up to 5 real competitors, comma separated",
                  "maxLength": 220,
                  "type": "string"
                },
                "language": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "Language the buyer questions are asked in",
                  "enum": [
                    "en",
                    "es"
                  ],
                  "type": "string"
                },
                "location": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "Where the business competes, like 'Cordoba, Argentina'",
                  "maxLength": 80,
                  "type": "string"
                },
                "website": {
                  "$schema": "https://json-schema.org/draft/2020-12/schema",
                  "description": "Domain, like yourbrand.com",
                  "maxLength": 160,
                  "type": "string"
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                "website",
                "category"
              ],
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              "destructiveHint": false,
              "idempotentHint": false,
              "openWorldHint": true,
              "readOnlyHint": false,
              "title": "Start visibility check"
            }
          }
        ]
      },
      "name": "Asked Thrice",
      "note": "Indexed from the official MCP registry: facts and our own checks, not reviewed, so no score, grade or rank.",
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          "identifier": "askedthrice-mcp",
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          "transport": "stdio"
        }
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      "pageJsonUrl": "https://www.anchorterminal.com/tools/askedthrice.json",
      "popularity": {
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        "npmWeekly": 24
      },
      "registryName": "com.askedthrice/askedthrice",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://mcp.askedthrice.com/mcp"
        }
      ],
      "repository": "https://github.com/nahuelsoria/llmaudit-mcp",
      "reviewed": false,
      "slug": "askedthrice",
      "source": "the official MCP registry",
      "sourceUrl": "https://registry.modelcontextprotocol.io/v0.1/servers?search=com.askedthrice/askedthrice",
      "summary": "Measure whether AI assistants actually recommend a brand, from measured answers.",
      "updatedAt": "2026-08-30T18:47:42Z",
      "url": "https://www.anchorterminal.com/tools/askedthrice",
      "vendor": "askedthrice.com",
      "vendorUrl": "https://askedthrice.com",
      "version": "1.1.0",
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  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/tools/askedthrice",
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    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/tools/askedthrice.md",
    "slim": "https://www.anchorterminal.com/tools/askedthrice.min.md"
  },
  "markdown": "# Asked Thrice\n\n\u003e Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/\n\n- Kind: MCP server, by askedthrice.com (https://askedthrice.com)\n- Listed because: It's published in the registry under askedthrice.com, a namespace the registry only gives to whoever proves they control that domain.\n- What the official MCP registry says: Measure whether AI assistants actually recommend a brand, from measured answers.\n\n## Facts\n\n- MCP registry: `com.askedthrice/askedthrice` 1.1.0\n- Endpoint: https://mcp.askedthrice.com/mcp (streamable HTTP)\n- Package: npm `askedthrice-mcp` (stdio)\n- Source: https://github.com/nahuelsoria/llmaudit-mcp\n- Website: https://askedthrice.com\n- npm downloads a week: 24\n- GitHub stars: 1\n- Registry entry updated: 2026-08-30\n\n## Tools\n\n- Tools it lists (2, about 623 tokens of context, `tools/list` without credentials over MCP 2026-07-28, checked 2026-10-04 22:22 UTC):\n  - `get_visibility_check` (read-only): 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…\n  - `start_visibility_check` (writes): Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what…\n- How its tools read to an agent (0 errors, 0 warnings, 1 note, about 623 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):\n  - note TC24 server: 2 of 2 tools have no outputSchema\n\n- JSON: https://www.anchorterminal.com/api/v1/tools/askedthrice.json\n- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-05",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
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      {
        "name": "Indexed",
        "url": "https://www.anchorterminal.com/indexed/"
      },
      {
        "name": "Asked Thrice",
        "url": ""
      }
    ],
    "description": "Asked Thrice, an MCP server by askedthrice.com, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Measure whether AI assistants actually recommend a brand, from measured answers.",
    "facts": [
      "not reviewed",
      "not ranked",
      "facts only"
    ],
    "h1": "Asked Thrice",
    "image": "https://www.anchorterminal.com/assets/og/indexed.png",
    "path": "/tools/askedthrice",
    "published": "",
    "section": "indexed",
    "title": "Asked Thrice: MCP server, indexed from the official MCP registry",
    "toc": null,
    "updated": "2026-10-05",
    "url": "https://www.anchorterminal.com/tools/askedthrice"
  },
  "tokens": {
    "markdown": 650,
    "slim": 580
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  "version": 1
}
