zoomeye-ai/mcp_zoomeye

Overview

A Model Context Protocol server that exposes ZoomEye network asset data to LLMs. It accepts query conditions such as ZoomEye dorks and returns matching asset information. Built in Python, it enables AI agents to perform network reconnaissance through a standardized interface.

Best for

Best for
Developers building LLM agents that need on-demand network asset intelligence

Use cases

• Querying network assets by ZoomEye dork for security research
• Integrating network intelligence into LLM-based automation workflows
• Enabling AI agents to retrieve open port and service data on demand

How to use

Install

pip install mcp-server-zoomeye && python -m mcp_server_zoomeye

Tools exposed

• zoomeye_search

Tested with

Claude Desktop, Cursor, Windsurf, Cline, Continue, Zed, Cherry Studio, Chatbox

Example client config

[object Object]

Notes

A Model Context Protocol server that exposes ZoomEye network asset data to LLMs. It accepts query conditions such as ZoomEye dorks and returns matching asset information. Built in Python, it enables AI agents to perform network reconnaissance through a standardized interface.

74 stars on GitHub. Last updated 2025-11-27.

Use cases

• Querying network assets by ZoomEye dork for security research
• Integrating network intelligence into LLM-based automation workflows
• Enabling AI agents to retrieve open port and service data on demand

Pros

• Provides structured network asset data directly to LLMs via MCP
• Simple Python implementation easy to extend or deploy
• Leverages ZoomEye’s extensive internet scanning database

Cons

• Requires a valid ZoomEye API key with associated usage limits
• Limited to data available through ZoomEye’s API (no real-time scanning)
• Dependency on external service availability and API changes

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