AI & Machine Learning

sitepulsar.ai

Provides tools to audit and optimize web pages for AI engine visibility and agent readiness.

1 endpoint13 known toolsFirst detected June 15, 2026Last detected September 6, 2026

ENDPOINT 1

https://mcp.sitepulsar.ai/mcp

No auth detected

MCP server metadata

Name: sitepulsar-mcp
Version: 0.0.1

Capabilities

tools

Server instructions

SitePulsar runs Agent Readiness audits — AEO (Agent Experience Optimization) — scoring how findable, readable, and usable a site is to AI answer engines and autonomous agents (one Agent Readiness Score across FIND/READ/USE). Use check_agent_readiness for a fast read; run_audit for a full async audit, then poll get_audit.

Known tools 13

check_agent_readiness

Fast synchronous AEO / agent-readiness read of a single URL: robots and bot access, structured data (schema), and content structure.

Inferred read-only

run_audit

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

Inferred read-only

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.

Inferred read-only

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).

Inferred read-only

compare_aeo

Compare AEO posture across multiple URLs (e.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

search_companies

Samples the major AI engines for which companies they name for a query (e.

Inferred read-only

probe_agent_discovery

Checks selected registries (official MCP registry, PyPI, GitHub) for packages/servers tied to a domain or brand.

Inferred read-only

probe_ucp_readiness

Inspects /.

Inferred read-only

probe_mcp_functional

Discovers a site's advertised MCP endpoint (mcp.

Inferred read-only

scan_product_page

Deterministically scores one product page (schema, price, availability, image) 0–100 for shopping-agent readability — no LLM, fully repeatable.

Inferred read-only

scan_visibility

Live AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your own).

Inferred read-only

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.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for sitepulsar.ai was fetched 2026-09-12T04:59:44.552Z.

Trust status Trusted

sitepulsar.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.