MCP server
citepath Official
ai.citepath/citepath
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Citepath public MCP server for LLM readiness audits and public scan results.
Working at last checkVerified publisher: citepath.aiAbout 271 tokens per request once connected3 tools
https://citepath.ai/api/mcp
At a glance
- Type
- MCP server
- Publisher
- citepath.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 271 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http citepath https://citepath.ai/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.citepath] url = "https://citepath.ai/api/mcp"
Gemini CLI
{"mcpServers":{"citepath":{"httpUrl":"https://citepath.ai/api/mcp"}}}
Cursor
{"mcpServers":{"citepath":{"url":"https://citepath.ai/api/mcp"}}}
VS Code
{"servers":{"citepath":{"type":"http","url":"https://citepath.ai/api/mcp"}}}
Antigravity
agy mcp add citepath https://citepath.ai/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"citepath","server_url":"https://citepath.ai/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"citepath","server_url":"https://citepath.ai/api/mcp"}
Tools
check_ai_visibility~136 tokens
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.get_readiness~73 tokens
Run a crawler's-eye technical LLM readiness audit for a domain.get_scan~62 tokens
Retrieve a finished public scan and its answers by scan ID.
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