INDIVIDUAL MCP TOOL

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.

sitepulsar.ainone authenticationAvailability not checked

Input schema

{}

Risk classification

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

A tool name or description suggests retrieving external content.

Parent endpoint

sitepulsar.ai

CONNECT WITH APPROVAL

Client installation

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.

Related tools

check_agent_readiness — Fast synchronous AEO / agent-readiness read of a single URL: robots and bot access, structured data (schema), and content structure.
run_audit — Run a full AEO audit of a URL covering FIND, READ, and USE.
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.