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ZoomEye MCP Server

MCP server for querying the ZoomEye API

#zoomeye#mcp-server
Created by zoomeye-ai2025/03/28
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What is ZoomEye MCP Server?

What is ZoomEye MCP Server? ZoomEye MCP Server is a Model Context Protocol server designed for querying the ZoomEye API to retrieve network asset information based on specific query conditions. How to use ZoomEye MCP Server? To use the server, you can either run it using the recommended uv method or install it via pip. After installation, you can execute it as a script or configure it within your application settings. Key features of ZoomEye MCP Server? Query ZoomEye for network asset information using dorks. Caching mechanism to enhance performance and minimize API calls. Automatic retry mechanism for failed API requests. Comprehensive error handling and logging. Use cases of ZoomEye MCP Server? Retrieving network asset information for security assessments. Analyzing network vulnerabilities using ZoomEye dorks. Integrating with other applications for enhanced data retrieval. FAQ from ZoomEye MCP Server? What is a dork in the context of ZoomEye? A dork is a specific search query used to find network assets in ZoomEye. Is there a limit to the number of records I can retrieve? Yes, the maximum number of records per page is 1000. Can I run the server in a Docker container? Yes, you can configure the server to run using Docker.

As an MCP (Model Context Protocol) server, ZoomEye MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use ZoomEye MCP Server

To use the server, you can either run it using the recommended uv method or install it via pip. After installation, you can execute it as a script or configure it within your application settings. Key features of ZoomEye MCP Server? Query ZoomEye for network asset information using dorks. Caching mechanism to enhance performance and minimize API calls. Automatic retry mechanism for failed API requests. Comprehensive error handling and logging. Use cases of ZoomEye MCP Server? Retrieving network asset information for security assessments. Analyzing network vulnerabilities using ZoomEye dorks. Integrating with other applications for enhanced data retrieval. FAQ from ZoomEye MCP Server? What is a dork in the context of ZoomEye? A dork is a specific search query used to find network assets in ZoomEye. Is there a limit to the number of records I can retrieve? Yes, the maximum number of records per page is 1000. Can I run the server in a Docker container? Yes, you can configure the server to run using Docker.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like ZoomEye MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like ZoomEye MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.