ZoomEye
Integrates with ZoomEye API to enable network asset reconnaissance through specialized search tools, supporting dork queries, IP f
The ZoomEye MCP Server provides network asset information to LLMs through a set of specialized tools that query the ZoomEye API. Developed by zoomeye.ai, this Python implementation enables searching for global network assets using dorks, with support for filtering by IP version, pagination, and specific field selection. The server features caching to improve performance, automatic retry mechanisms for failed API requests, and comprehensive error handling. It can be deployed via Docker, pip installation, or run directly with uv, requiring only a ZoomEye API key for authentication. This implementation is particularly valuable for cybersecurity workflows requiring network reconnaissance capabilities within AI assistant conversations.
Source
Repository: https://github.com/zoomeye-ai/mcp_zoomeye
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