ZoomEye MCP Server
A Model Context Protocol (MCP) server that enables Large Language Models to access network asset data by querying ZoomEye using specific search parameters and dorks. It supports caching, automatic retries, and error handling, facilitating efficient retrieval of device, service, and vulnerability information across the internet.
Added on:
Created by:
Mar 19 2025
A Model Context Protocol (MCP) server that enables Large Language Models to access network asset data by querying ZoomEye using specific search parameters and dorks. It supports caching, automatic retries, and error handling, facilitating efficient retrieval of device, service, and vulnerability information across the internet.
Added on:
Created by:
Mar 19 2025
zoomeye.ai
Featured
What is ZoomEye MCP Server?
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.
Who will use ZoomEye MCP Server?
- Cybersecurity researchers
- Security analysts
- DevOps engineers
- Penetration testers
- AI developers
- Network administrators
How to use the ZoomEye MCP Server?
- Step 1: Obtain your ZoomEye API key by registering at ZoomEye.
- Step 2: Install the MCP server using pip, Docker, or uv.
- Step 3: Set the environment variable or configuration with your API key.
- Step 4: Start the MCP server and ensure it is running properly.
- Step 5: Configure your AI assistant or development environment to connect to the MCP server.
- Step 6: Use natural language or query parameters to request network asset data through the MCP server.
ZoomEye MCP Server's Core Features & Benefits
The Core Features
- Query ZoomEye for network assets using dorks
- Cache responses for improved performance
- Automatic retries for failed requests
- Error handling and logging
The Benefits
- Provides real-time network asset data for AI models
- Reduces API call overhead through caching
- Supports complex search queries with flexible parameters
- Enhances cybersecurity investigations and research
ZoomEye MCP Server's Main Use Cases & Applications
- Security vulnerability assessment by querying vulnerable devices
- Automated network reconnaissance for penetration testing
- Asset inventory management for large-scale networks
- Integration with AI assistants for natural language network queries
FAQs of ZoomEye MCP Server
Developer
- zoomeye-ai
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