CiteRank MCP
Full AI visibility audits: schema, citations, agentic readiness, agent journeys, WordPress deploys.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (2)
- LOWin citerank_check_agentic_readiness
- LOWin citerank_simulate_agent_journey
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"citerank": {
"url": "https://citerankscore.com/api/mcp-server"
}
}
}Remote-Endpunkte
https://citerankscore.com/api/mcp-serverstreamable-httpWas es kann
Tool-Inventar
Tools (9)
🟢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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
]
}Community
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