mcp_zoomeye
27
ZoomEye MCP Server allows AI assistants and development environments to search for and analyze internet-connected devices and vulnerabilities using ZoomEye. It features caching, retry mechanisms, and is available via Docker or Python.
ZoomEye MCP Server
A Model Context Protocol (MCP) server enabling LLMs to obtain network asset information through ZoomEye queries using natural language.
Features
- Query ZoomEye for asset information using dorks.
- Caching and automatic retry mechanisms.
- Error handling and logging.
Usage Guide
- Start the server and configure AI assistants to use it.
- Query network information using natural language.
Installation
- Install via pip or Docker.
For detailed search syntax, refer here.
Getting Started
- Prerequisite: ZoomEye API Key.
- Requires Python 3.10+ or Docker.
Configuration
- Set
ZOOMEYE_API_KEY
as an environment variable.