mcp_zoomeye
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A Model Context Protocol (MCP) server that provides network asset information based on query conditions.
The ZoomEye MCP Server is a specialized server that allows Large Language Models (LLMs) to access network asset information by querying ZoomEye using dorks and other search parameters. It integrates with AI assistants and development environments like Claude Desktop, Cursor, Windsurf, Cline, Continue, and Zed, enabling them to search for and analyze internet-connected devices, services, and vulnerabilities through natural language interactions. The server features a caching mechanism to improve performance, an automatic retry mechanism for failed API requests, and comprehensive error handling and logging. It requires a ZoomEye API key for authentication and can be installed using Python or Docker.
Features
- Query ZoomEye for network asset information using dorks
- Caching mechanism to improve performance and reduce API calls
- Automatic retry mechanism for failed API requests
- Comprehensive error handling and logging
Tools
zoomeye_search
Get network asset information based on query conditions.