Ai.sitepulsar MCP Server

Agent Experience Optimization (AEO) for AI agents — measure and improve how findable, readable, and usable any website is to AI answer engines and autonomous AI agents, directly from your MCP client.

Remote serverstreamable-http

What is the Ai.sitepulsar MCP Server?

SitePulsar is an MCP project maintained in the sitepulsar/mcp-server repository. The maintainer describes its purpose as “Agent Experience Optimization (AEO) for AI agents — measure and improve how findable, readable, and usable any website is to AI answer engines and autonomous…”. Read the project documentation for the complete scope.

Hosted connection

The maintainer’s configuration uses https://mcp.sitepulsar.ai/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
check_agent_readinessFast synchronous agent-readiness check for a URL (no full run, no charge). Immediate signals on machine readability, structured data, and agent-accessibility.
run_auditStart a full async AEO audit for a URL. Returns an audit_id; poll with get_audit.
get_auditPoll status and, when complete, a decision-ready summary: AEO score (overall + FIND/READ/USE), weakest pillar, headline takeaways, and top fixes.
get_audit_detailFull per-section breakdown of a completed audit — per-dimension sub-scores, reputation across engines, competitor cluster, crawl/schema/robots, agentic + USE…
get_audit_fullOne call returning summary + full detail + fixes (use expand to trim).
compare_aeoCompare AEO posture across multiple URLs on the same pillar scale.
get_fixesPrioritised, pillar-tagged action plan for a completed audit, ordered by estimated impact.
search_companiesSamples major AI engines for which companies they name for a query; returns a consensus shortlist (≤5).
probe_agent_discoveryChecks the official MCP registry, PyPI, and GitHub for servers/packages tied to a domain or brand.
probe_mcp_functionalDiscovers a site's advertised MCP endpoint and reports its declared OAuth/transport posture + declared tool names.
probe_ucp_readinessInspects /.well-known/ucp for AI-shopping-agent transactability (presence + advertised capabilities).
scan_visibilityLive AI-visibility scan for any brand (crawl + reputation across engines): where a brand is mentioned.
scan_product_pageProduct-page readability scan for AI agents; structured product/offer extraction.

How to install the Ai.sitepulsar MCP Server

{
  "mcpServers": {
    "sitepulsar": {
      "url": "https://mcp.sitepulsar.ai/mcp"
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.