CertScore.ai MCP Light MCP server

A remote MCP server that allows AI agents to perform no-authentication privacy scans on public websites. It detects cookies, trackers, consent mechanisms, and HTTPS/TLS status to generate risk reports without requiring user signup or API keys.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by CertScore.ai, LLC

MCP endpoint (Streamable HTTP)

https://mcp.certscore.ai/mcp/light

Vendor documentation

What you can do with it

Scan public websites for pre-consent cookies and trackers
Analyze consent management platform (CMP) signals
Check HTTPS/TLS configuration and policy transparency
Generate automated privacy risk observations for agents

Tools advertised by the last live check:

certscore_scan_site
certscore_get_scan_status
certscore_get_report_evidence_page
certscore_get_scan_bundle

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http certscore-ai-mcp-light https://mcp.certscore.ai/mcp/light

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add certscore-ai-mcp-light --url https://mcp.certscore.ai/mcp/light

Cursor

Merge this server into .cursor/mcp.json in your project, then enable certscore-ai-mcp-light in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "certscore-ai-mcp-light": {
      "type": "streamableHttp",
      "url": "https://mcp.certscore.ai/mcp/light",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start certscore-ai-mcp-light and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http certscore-ai-mcp-light https://mcp.certscore.ai/mcp/light

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "certscore-ai-mcp-light": {
      "serverUrl": "https://mcp.certscore.ai/mcp/light"
    }
  }
}

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