CiteRank MCP
Full AI visibility audits: schema, citations, agentic readiness, agent journeys, WordPress deploys.
Should I use this
Quality & Safety
Findings (2)
- LOWTool 'citerank_check_agentic_readiness' name length outside 3-30 rangein citerank_check_agentic_readiness
- LOWTool 'citerank_simulate_agent_journey' name length outside 3-30 rangein citerank_simulate_agent_journey
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"citerank": {
"url": "https://citerankscore.com/api/mcp-server"
}
}
}Remote endpoints
https://citerankscore.com/api/mcp-serverstreamable-httpWhat it can do
Tool inventory
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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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
Evidence