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web-intel-mcp

v0.2.0

Published

MCP server for web intelligence — DNS, SSL, tech stack, metadata, link safety. One tool to investigate any website. No API keys needed.

Readme

web-intel-mcp

MCP server that gives AI agents web intelligence capabilities. DNS lookups, SSL checks, tech stack detection, page metadata, link safety analysis — all in one package.

Why

AI agents can't do DNS lookups, read SSL certificates, or detect web technologies natively. This MCP server adds those capabilities with zero configuration.

Tools

| Tool | What it does | |---|---| | web_investigate | Complete website investigation — DNS, SSL, tech stack, metadata, link safety in one call | | web_dns | DNS records (A, AAAA, MX, NS, TXT, CNAME) + mail provider detection | | web_ssl | SSL certificate details — issuer, expiry, validity, SANs | | web_tech_stack | Detect frameworks, CMS, analytics, CDN, hosting, security headers | | web_meta | Page title, description, Open Graph, Twitter cards, canonical URL | | web_link_safety | URL safety verdict — safe/suspicious/dangerous with risk score |

Install

Claude Code

claude mcp add web-intel node /path/to/web-intel-mcp/index.js

Or add to .mcp.json:

{
  "mcpServers": {
    "web-intel": {
      "command": "node",
      "args": ["/path/to/web-intel-mcp/index.js"]
    }
  }
}

npx (no install)

{
  "mcpServers": {
    "web-intel": {
      "command": "npx",
      "args": ["web-intel-mcp"]
    }
  }
}

Examples

"Check if this website is legit" → Agent calls web_investigate → gets trust score, SSL status, tech stack, safety signals

"What DNS records does example.com have?" → Agent calls web_dns → gets A, MX, NS records + mail provider

"Is this link safe to click?" → Agent calls web_link_safety → gets safe/suspicious/dangerous verdict

"What framework is this site built with?" → Agent calls web_tech_stack → gets Next.js, React, Cloudflare, etc.

No API keys needed

Everything runs locally using Node.js built-in dns and https modules. No external API dependencies. No rate limits. No costs.

License

MIT