The ZoomEye MCP Server is a specialized model context protocol that grants Large Language Models and AI assistants access to comprehensive network asset information. It allows querying of devices, services, and vulnerabilities across the internet through ZoomEye’s search API, using various search parameters including dorks. The server features caching mechanisms to improve performance, automatic retries to handle failures, and detailed error handling. By integrating this server, developers and security researchers can seamlessly retrieve real-time data on global network assets, aiding in cybersecurity analysis, penetration testing, and infrastructure auditing while supporting natural language queries for enhanced usability.