INDIVIDUAL MCP TOOL

run_audit

Run a full AEO audit of a URL covering FIND, READ, and USE.

sitepulsar.ainone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.sitepulsar-mcp]
url = "https://mcp.sitepulsar.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "sitepulsar-mcp": {
      "type": "http",
      "url": "https://mcp.sitepulsar.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: sitepulsar-mcp
Remote MCP URL: https://mcp.sitepulsar.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "sitepulsar-mcp": {
      "type": "http",
      "url": "https://mcp.sitepulsar.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "sitepulsar-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.sitepulsar.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

check_agent_readiness — Fast synchronous AEO / agent-readiness read of a single URL: robots and bot access, structured data (schema), and content structure.
get_audit — Fetch an audit's status and, when complete, a compact decision-ready SUMMARY: AEO score (overall + FIND/READ/USE), a short summary, the weakest pillar, headline takeaways, and the top fixes.
get_audit_detail — Full 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, reputation across AI engines, competitor cluster (named for paid tiers), crawl/schema/robots findings, agentic-readiness + USE functional probes, and rendered-DOM analysis (paid).
compare_aeo — Compare AEO posture across multiple URLs (e.
get_fixes — Return the prioritized, pillar-tagged (FIND / READ / USE) action plan for a completed audit, deduplicated across sources, with machine-actionable implementation steps included on fixes where available.
get_audit_full — One 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 → get_audit_detail → get_fixes.
search_companies — Samples the major AI engines for which companies they name for a query (e.
probe_agent_discovery — Checks selected registries (official MCP registry, PyPI, GitHub) for packages/servers tied to a domain or brand.