Server data from the Official MCP Registry
Scan any domain for AI readiness and generate llms.txt, robots.txt and schema. Free, read-only.
About
Scan any domain for AI readiness and generate llms.txt, robots.txt and schema. Free, read-only.
Remote endpoints: streamable-http: https://getcitehound.com/api/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
13 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-andacuzel-citehound": {
"url": "https://getcitehound.com/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
cited-geo-guide
This repository holds Citehound, an end-to-end service for AI readiness: a free scanner, Pro site reports, Fix (we make the technical changes) and Beyond (we write the content). The repository and the Vercel project keep their original names; see docs/rename-notes.md.
Benchmark data
The homepage benchmark section (and the "average of N sites" line on every scan report) is generated, not hand-written. To add a category:
- Scan it:
node scripts/scan-category.js domains/<category>.txt <category>— writesdata/<category>-raw.json(per-domain results — gitignored, never published) anddata/<category>-summary.json(aggregate stats only, no company names). - Add one entry to
data/benchmarks.json:category(matches the summary filename),label(display name),track("B2B SaaS"or"Consumer & e-commerce"),note(the unit word for the sample size, e.g."platforms"). - Run
node scripts/generate-benchmarks.js— rewrites the block inindex.htmlbetween theBENCHMARKS:START/BENCHMARKS:ENDmarkers. Safe to re-run; it replaces the block in place. - Commit
data/benchmarks.json, the newdata/<category>-summary.json, and the regeneratedindex.html. Leave-raw.jsonuncommitted — it's gitignored on purpose.
No score or count is ever typed by hand into benchmarks.json or
index.html — both are read from the summary file at generation time,
so they can't drift apart. Two minutes, no HTML editing.
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