CiteRank MCP

Full AI visibility audits: schema, citations, agentic readiness, agent journeys, WordPress deploys.

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品質與安全性

A
說明品質
98%
結構描述完整度
91%
命名品質
76%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'citerank_check_agentic_readiness' name length outside 3-30 range在 citerank_check_agentic_readiness 中
  • LOWTool 'citerank_simulate_agent_journey' name length outside 3-30 range在 citerank_simulate_agent_journey 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,090Token(工具定義)
~762 B典型回應大小
中等的注意力影響(128k 上下文的 0.85%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "citerank": {
      "url": "https://citerankscore.com/api/mcp-server"
    }
  }
}

遠端端點

https://citerankscore.com/api/mcp-serverstreamable-http

它能做什麼

工具清單

工具(9)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢citerank_analyze_url(url, focus)

Run a full AI visibility audit on any public URL. Returns schema analysis, AI citation score, E-E-A-T signals, agentic readiness, and prioritized issues with specific fixes.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to audit (must be publicly accessible)"
    },
    "focus": {
      "type": "string",
      "enum": [
        "full",
        "schema",
        "citations",
        "agentic",
        "eeat"
      ],
      "description": "Audit focus area. Defaults to full."
    }
  },
  "required": [
    "url"
  ]
}
🟢citerank_analyze_wp_page(post_id)

Analyze a specific page on your connected WordPress site. Returns the recommended schema type with confidence + reason, extracted signals (phone, address, price, FAQ pairs, WooCommerce data), author info, and full content for schema generation.

輸入結構描述

{
  "type": "object",
  "properties": {
    "post_id": {
      "type": "number",
      "description": "The WordPress post ID to analyze"
    }
  },
  "required": [
    "post_id"
  ]
}
🟢citerank_check_agentic_readiness(url)

Check how ready a website is for AI agent interactions. Tests for MCP endpoint, WebMCP declarative tools, potentialAction schema, A2A agent card, llms.txt, pricing.md, and more.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL (or domain) to check"
    }
  },
  "required": [
    "url"
  ]
}
🟢citerank_check_brand_citations(domain, keywords)

Check whether a brand/domain is cited in AI-generated answers (Google AI Overviews, Gemini). Returns citation rate, share of voice, top cited queries, and competitor sources.

輸入結構描述

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "The domain to check (e.g. example.com)"
    },
    "keywords": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional keywords to test (max 10). Auto-derived from domain if omitted."
    }
  },
  "required": [
    "domain"
  ]
}
🟡citerank_deploy_schema(post_id, type, signal_key, payload)

Deploy JSON-LD schema markup directly to a specific page on your connected WordPress site. The schema is injected into the page head and tracked in the deployment log. Supports schema, speakable, llms_txt, robots, entity, webmcp, and a2a deployment types.

輸入結構描述

{
  "type": "object",
  "properties": {
    "post_id": {
      "type": "number",
      "description": "WordPress post ID to deploy schema to (required for per-page schema)"
    },
    "type": {
      "type": "string",
      "enum": [
        "schema",
        "speakable",
        "llms_txt",
        "robots_txt",
        "entity_schema",
        "webmcp",
        "a2a",
        "markdown_file"
      ],
      "description": "Deployment type. Use \"schema\" for per-page JSON-LD. \"robots_txt\" for AI bot rules. \"entity_schema\" for sitewide entity."
    },
    "signal_key": {
      "type": "string",
      "description": "Signal identifier (e.g. \"schema\", \"speakable\"). Defaults to type."
    },
    "payload": {
      "type": "object",
      "description": "Deployment payload. For schema: {jsonld: \"...\"}. For llms_txt: {content:\"...\"}. For robots: {rules:\"...\"}."
    }
  },
  "required": [
    "type",
    "payload"
  ]
}
⚪citerank_generate_schema(url, schemaType)

Generate production-ready JSON-LD structured data for any URL. Analyzes page content and produces schema markup ready to implement.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to generate schema for"
    },
    "schemaType": {
      "type": "string",
      "description": "Preferred schema type (e.g. Article, LocalBusiness, Product, FAQPage). Auto-detected if omitted."
    }
  },
  "required": [
    "url"
  ]
}
🟡citerank_get_wp_health

Check the health of all deployments on your connected WordPress site. Returns post-level schema status (active/missing/modified/deleted) and file-level checks for llms.txt, a2a.json, toolcatalog.json, and robots.txt rules.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟡citerank_list_wp_pages(page, per_page)

List all pages and posts on your connected WordPress site with their current schema deployment status. Returns each page with its URL, post type, word count, and whether schema has been deployed.

輸入結構描述

{
  "type": "object",
  "properties": {
    "page": {
      "type": "number",
      "description": "Page number for pagination (default 1)"
    },
    "per_page": {
      "type": "number",
      "description": "Results per page (default 50, max 100)"
    }
  }
}
⚪citerank_simulate_agent_journey(url, journeyType)

Simulate an AI agent attempting to complete a task on a website (book, quote, contact, buy, subscribe). Returns step-by-step results and specific fixes for each failure point.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to simulate the journey on"
    },
    "journeyType": {
      "type": "string",
      "enum": [
        "book",
        "quote",
        "contact",
        "buy",
        "subscribe"
      ],
      "description": "The type of journey to simulate"
    }
  },
  "required": [
    "url",
    "journeyType"
  ]
}

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