CueScout

Check if ChatGPT or Perplexity names a brand for a buying question, and if AI bots can read a site.

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质量与安全性

B
描述质量
95%
模式完整度
86%
命名质量
100%
投毒风险
60%
权限匹配度
100%
协议合规性
100%

发现(5)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'list_todos' description contains placeholder text在 list_todos 中
  • LOWTool 'get_todo' description lacks action verb在 get_todo 中
  • INFOTool description contains placeholder or incomplete text在 list_todos 中
  • INFOTool description contains placeholder or incomplete text在 get_todo 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~3,036token 数(工具定义)
~1.4 KB典型响应大小
对注意力有显著影响(占 128k 上下文窗口的 2.37%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "cuescout": {
      "url": "https://mcp.cuescout.com/mcp"
    }
  }
}

远程端点

https://mcp.cuescout.com/mcpstreamable-http

它能做什么

工具清单

工具(14)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢check_ai_visibility(brand, question, domain, competitors, engine)

Use this when someone asks whether an AI answer engine names or cites a brand for a buying question, or which other brands it names. Sends one question to one search-grounded engine through its API and returns whether the brand was named, whether its domain was cited, which of the listed competitors were named, and the pages the answer cited. Each call is a fresh API request with no account history or personalization, and one question is one datapoint, not an overall visibility score.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "The brand or product name to look for in the answer."
    },
    "question": {
      "type": "string",
      "description": "A question a buyer would actually type, e.g. \"best tool for tracking AI search visibility\". Not a keyword: the engines answer questions."
    },
    "domain": {
      "type": "string",
      "description": "The brand's domain. Supplying it enables citation detection, not just name matching."
    },
    "competitors": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 3,
      "description": "Up to 3 competitor names to check for in the same answer."
    },
    "engine": {
      "type": "string",
      "enum": [
        "perplexity",
        "chatgpt"
      ],
      "description": "Which engine answers: perplexity (the default) or chatgpt."
    }
  },
  "required": [
    "brand",
    "question"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string"
    },
    "question": {
      "type": "string"
    },
    "engine": {
      "type": "string"
    },
    "mentioned": {
      "type": "boolean"
    },
    "cited": {
      "type": "boolean"
    },
    "rank": {
      "type": [
        "number",
        "null"
      ]
    },
    "sentiment": {
      "type": [
        "string",
        "null"
      ]
    },
    "snippet": {
      "type": [
        "string",
        "null"
      ]
    },
    "competitors": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "mentioned": {
            "type": "boolean"
          }
        },
        "required": [
          "name",
          "mentioned"
        ],
        "additionalProperties": false
      }
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "brand",
    "question",
    "engine",
    "mentioned",
    "cited",
    "rank",
    "sentiment",
    "snippet",
    "competitors",
    "sources"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_ai_readiness(url)

Use this when someone asks whether AI engines can read, crawl or quote their website, or wants an AI-readiness audit of a site. Runs eight checks: AI crawler access in robots.txt, llms.txt, Organization and FAQ schema, canonical and meta tags, server-rendered copy, and whether an about page and a pricing page exist. It does not measure whether any engine actually cites the site. No AI call, nothing stored.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The site or page URL to check. A bare domain like example.com is fine."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_ai_crawler_access(url)

Use this when someone asks why their site never shows up in AI answers, or whether GPTBot, ClaudeBot, PerplexityBot or Google-Extended can crawl it. Reads the site's robots.txt and reports which of those crawlers are blocked, including by a blanket rule the owner may not have meant. One fetch, no AI.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The site or page URL to check. A bare domain like example.com is fine."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢validate_structured_data(url)

Use this when someone wants their schema markup or JSON-LD checked on a specific page. Reports which schema types the page declares, which blocks fail to parse, and whether the fields that help an engine attribute a claim (sameAs, Organization identity, FAQ answers) are filled in. One fetch, no AI.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The site or page URL to check. A bare domain like example.com is fine."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_sitemap(url)

Use this when someone wants their XML sitemap checked. Reports whether a site's sitemap is reachable, parses, is declared in robots.txt, and is free of cross-host entries a crawler discards. A handful of fetches, no AI.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The site or page URL to check. A bare domain like example.com is fine."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_profile

Use this when someone asks which CueScout account is connected. Returns the account name and email.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "email": {
      "type": "string"
    },
    "name": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_brands

Use this to see which brands the connected CueScout account tracks, with their sites and the competitors set for each. The other account tools take one of these brands.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_ai_visibility(brand, days)

Use this when someone asks how visible their brand is in AI answers, what their share of AI voice is, or how they compare with competitors. Reads the results CueScout already collected for the brand: how often AI answers named it, its share of voice, how often its site was cited, and the same for each competitor, over the last 7, 28 or 90 days. It does not run new checks.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "days": {
      "type": "number",
      "enum": [
        7,
        28,
        90
      ],
      "description": "The window to report on, in days. Defaults to 28."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string"
    },
    "brand_id": {
      "type": "string"
    },
    "days": {
      "type": "number"
    },
    "answers": {
      "type": "number"
    },
    "questions": {
      "type": "number"
    },
    "engines": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "low_sample": {
      "type": "boolean"
    },
    "rankings": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "is_brand": {
            "type": "boolean"
          },
          "visibility_pct": {
            "type": "number"
          },
          "share_pct": {
            "type": "number"
          },
          "citation_pct": {
            "type": "number"
          },
          "avg_position": {
            "type": [
              "number",
              "null"
            ]
          }
        },
        "required": [
          "name",
          "is_brand",
          "visibility_pct",
          "share_pct",
          "citation_pct",
          "avg_position"
        ],
        "additionalProperties": false
      }
    },
    "app_url": {
      "type": "string"
    }
  },
  "required": [
    "brand",
    "brand_id",
    "days",
    "answers",
    "questions",
    "engines",
    "low_sample",
    "rankings",
    "app_url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_prompts(brand, days)

Use this when someone asks which questions CueScout tracks for their brand, which ones the brand is missing from, or who gets named instead. Returns each tracked prompt with the latest verdict per engine (named and cited, named, or not named), the brand's mention and citation rate over the window, and the brands named instead.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "days": {
      "type": "number",
      "enum": [
        7,
        28,
        90
      ],
      "description": "The window to report on, in days. Defaults to 28."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_prompt_answers(brand, prompt_id)

Use this when someone wants to read what the AI engines actually answered to one of their tracked prompts. Returns the most recent answer from each engine, whether the brand was named or cited, which brands were named, and the pages each answer cited.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "prompt_id": {
      "type": "string",
      "description": "The prompt id, from list_prompts."
    }
  },
  "required": [
    "prompt_id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_citation_sources(brand, days, limit)

Use this when someone asks which websites or pages AI answers rely on in their brand's category, or where they should try to get mentioned. Returns the pages cited most often across the brand's tracked prompts, with how many times each was cited, by which engines, and which brands each page names.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "days": {
      "type": "number",
      "enum": [
        7,
        28,
        90
      ],
      "description": "The window to report on, in days. Defaults to 28."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "How many pages to return. Defaults to 15."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_todos(brand, status)

Use this when someone asks what they should do next to show up in AI answers. Returns CueScout's To-dos for the brand in priority order: the action, why it matters and its priority. Filter by status: todo (default), suggested, done or dismissed.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "status": {
      "type": "string",
      "enum": [
        "todo",
        "suggested",
        "done",
        "dismissed"
      ]
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_todo(brand, todo_id)

Use this when someone wants the details of one To-do: why it matters, the steps to do it, and the evidence behind it.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    },
    "todo_id": {
      "type": "string",
      "description": "The To-do id, from list_todos."
    }
  },
  "required": [
    "todo_id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_site_audit(brand)

Use this when someone asks whether AI engines can read their own brand's site, based on CueScout's last audit of it: crawler access, llms.txt, schema, meta tags, server-rendered copy, and about and pricing pages. Reads the stored result; it does not re-run the audit.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "description": "Which brand, by name or id, when the account tracks more than one. Leave empty to use the only brand; list_brands shows them all."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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