citepath
Citepath public MCP server for LLM readiness audits and public scan results.
Should I use this
Quality & Safety
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": {
"citepath": {
"url": "https://citepath.ai/api/mcp"
}
}
}Remote endpoints
https://citepath.ai/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢check_ai_visibility(domain)
How visible is a brand in AI answers? Given a domain, returns its latest public share-of-answer scan (how often ChatGPT, Claude, Gemini, Perplexity and Grok cite it, per engine, and which competitors they name instead) plus a live AI-crawler readiness audit. No scan id needed.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "The brand's domain, e.g. example.com"
}
},
"required": [
"domain"
]
}🟢get_readiness(domain)
Run a crawler's-eye technical LLM readiness audit for a domain.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "The domain to audit, e.g. example.com"
}
},
"required": [
"domain"
]
}🟢get_scan(id)
Retrieve a finished public scan and its answers by scan ID.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The scan UUID"
}
},
"required": [
"id"
]
}Community
Evidence