ai.sitepulsar/mcp
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Publisher-provided description
SitePulsar AEO audits: fetch FIND/READ/USE agent-readiness scores for any website.
Summary by lookupd
Runs agent-readiness audits on websites, scoring FIND, READ and USE pillars and listing prioritized fixes for each site.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mcp https://mcp.sitepulsar.ai/mcp
Codex, remote (streamable-http)
codex mcp add mcp --url https://mcp.sitepulsar.ai/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.sitepulsar.ai/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (13 tools)
Publisher-provided text
check_agent_readinessFast synchronous AEO / agent-readiness read of a single URL: robots and bot access, structured data (schema), and content structure. Returns immediate signals wrun_auditRun a full AEO audit of a URL covering FIND, READ, and USE. Async: returns an audit_id to poll with get_audit. Accepts an optional target_keyword. Spends one auget_auditFetch an audit's status and, when complete, a compact decision-ready SUMMARY: AEO score (overall + FIND/READ/USE), a short summary, the weakest pillar, headlineget_audit_detailFull structured per-section breakdown of a completed audit, on demand (only call after get_audit when you need depth): per-dimension FIND/READ/USE sub-scores, rcompare_aeoCompare AEO posture across multiple URLs (e.g. a brand versus its competitors) on the same FIND/READ/USE pillar scale. Async: returns an audit_id to poll with gget_fixesReturn the prioritized, pillar-tagged (FIND / READ / USE) action plan for a completed audit, deduplicated across sources, with machine-actionable implementationget_audit_fullOne call that returns a completed audit's SUMMARY, full per-section DETAIL, and deduplicated prioritized FIXES together — so you don't have to chain get_audit →search_companiesSamples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want toprobe_agent_discoveryChecks selected registries (official MCP registry, PyPI, GitHub) for packages/servers tied to a domain or brand. A discovery-surface check (can agents find yourprobe_ucp_readinessInspects /.well-known/ucp to report whether AI shopping agents can transact with the site (presence + advertised capabilities only — never a live purchase). Useprobe_mcp_functionalDiscovers a site's advertised MCP endpoint (mcp.json / .well-known) and inspects its *declared* OAuth/transport posture (advertised, not guaranteed-working — itscan_product_pageDeterministically scores one product page (schema, price, availability, image) 0–100 for shopping-agent readability — no LLM, fully repeatable. Use when you wanscan_visibilityLive AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your ow
Details
- Version: 1.0.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 351 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/SitePulsar/mcp-server
- Website: https://www.sitepulsar.ai
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