What runtime does ZoomEye MCP Server require?
Python 3.10 or higher, or Docker (multi‑architecture images for linux/amd64 and linux/arm64).
@zoomeye-ai
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_zoomeye": {
"command": "python",
"args": [
"-m",
"mcp_server_zoomeye"
]
}
}
}Get network asset information based on query conditions.
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.
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.
Python 3.10 or higher, or Docker (multi‑architecture images for linux/amd64 and linux/arm64).
The server requires a ZoomEye API key set as the `ZOOMEYE_API_KEY` environment variable. Obtain the key from your Zoomeye account profile.
All network asset information is fetched in real time from the ZoomEye API using the user’s query parameters.
The ZoomEye API enforces rate limits based on your account type. The server includes automatic retry and caching to mitigate this.
Claude Desktop, Cursor, Windsurf, Cline, Continue, Zed, Cherry Studio, and Chatbox.

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