urldna/mcp

Overview

The urldna/mcp server implements a lightweight Model Context Protocol (MCP) server that exposes urlDNA enrichment data as structured tool calls for clients like Claude Desktop or Copilot. It accepts a URL and returns metadata such as category, risk score, and technology stack.

Best for

Best for
Developers building AI assistants or chatflows that need on-the-fly URL reputation checks

Use cases

• Enrich LLM responses with urlDNA risk and category data for a given URL
• Build automated URL reputation checks into AI agent workflows
• Hand off URL analysis from a chat interface to a structured MCP tool

How to use

Install

pip install uv

Tools exposed

• fast_check
• new_scan
• get_scan
• list_queries
• get_query
• create_query
• update_query
• delete_query
• query_scans
• list_brands
• get_brand
• brand_scans
• search_docs

Tested with

Claude Desktop, ChatGPT

Notes

The urldna/mcp server implements a lightweight Model Context Protocol (MCP) server that exposes urlDNA enrichment data as structured tool calls for clients like Claude Desktop or Copilot. It accepts a URL and returns metadata such as category, risk score, and technology stack.

7 stars on GitHub. Last updated 2026-05-10. Licensed Apache-2.0.

Use cases

• Enrich LLM responses with urlDNA risk and category data for a given URL
• Build automated URL reputation checks into AI agent workflows
• Hand off URL analysis from a chat interface to a structured MCP tool

Pros

• Lets LLMs call a real URL intelligence service without leaving the conversation
• Minimal setup (Python, single MCP server) for developers already using MCP clients
• Returns structured, actionable data (category, risk score, tech stack) in one request

Cons

• Requires an external urlDNA API key, adding a dependency and cost
• Only 7 GitHub stars suggests very limited community use or testing
• Limited to single-URL lookups; no batch or bulk enrichment support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.