ZoomEye MCP Server
@zoomeye-ai
About ZoomEye MCP Server
A Model Context Protocol server that provides network asset information based on query conditions. This server allows LLMs to obtain network asset information and supports querying network asset information by zoomeye dork etc.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_zoomeye": {
"command": "python",
"args": [
"-m",
"mcp_server_zoomeye"
]
}
}
}Tools
1Get network asset information based on query conditions.
Overview
What is ZoomEye MCP Server?
A Model Context Protocol (MCP) server that provides network asset information based on query conditions. It allows large language models (LLMs) to query ZoomEye using dorks and search parameters to obtain real‑time cyber asset intelligence.
How to use ZoomEye MCP Server?
Install via pip, uv, or Docker, set the ZOOMEYE_API_KEY environment variable, then configure your AI assistant (Claude Desktop, Cursor, Windsurf, etc.) to use the server. Query network information using natural language.
Key features of ZoomEye MCP Server
- Query ZoomEye for network asset information using dorks
- Caching mechanism improves performance and reduces API calls
- Automatic retry mechanism for failed API requests
- Comprehensive error handling and logging
Use cases of ZoomEye MCP Server
- Search global internet assets by application, service, or banner
- Retrieve detailed asset metadata including location, ISP, SSL info, and hostname
- Integrate cyber asset intelligence into AI development environments
- Monitor network assets and track real‑time changes
FAQ from ZoomEye MCP Server
What runtime does ZoomEye MCP Server require?
Python 3.10 or higher, or Docker (multi‑architecture images for linux/amd64 and linux/arm64).
How is authentication handled?
The server requires a ZoomEye API key set as the ZOOMEYE_API_KEY environment variable. Obtain the key from your Zoomeye account profile.
Where does the data come from?
All network asset information is fetched in real time from the ZoomEye API using the user’s query parameters.
What are the known limits of ZoomEye MCP Server?
The ZoomEye API enforces rate limits based on your account type. The server includes automatic retry and caching to mitigate this.
What MCP environments are compatible?
Claude Desktop, Cursor, Windsurf, Cline, Continue, Zed, Cherry Studio, and Chatbox.
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