ZoomEye
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.
What is ZoomEye?
ZoomEye is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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 informa...
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.
This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol server that provides network asset
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx zoomeye-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use ZoomEye
The ZoomEye MCP server connects AI assistants to the ZoomEye cyberspace asset search engine, enabling real-time OSINT and network reconnaissance queries through the Model Context Protocol. Security researchers and penetration testers can use natural language to search for exposed devices, services, and web assets across the global internet using ZoomEye dork syntax, with results filtered by IP version, page size, and specific fields.
Prerequisites
- A ZoomEye account at https://www.zoomeye.ai with an API key from your Profile page
- Python 3.10+ installed, or Docker for a containerized setup
- pip or uv package manager
- An MCP-compatible client such as Claude Desktop, Cursor, or Windsurf
Obtain a ZoomEye API key
Register or log in at https://www.zoomeye.ai, click your avatar, go to Profile, and copy your API-KEY. Set it as an environment variable for testing.
export ZOOMEYE_API_KEY="your_api_key_here"Install the mcp-server-zoomeye package
Install the ZoomEye MCP server Python package with pip.
pip install mcp-server-zoomeyeTest the server runs correctly
Run the server module once manually to confirm it starts without errors before adding it to your MCP client.
python -m mcp_server_zoomeyeAdd the server to your MCP client configuration
Open your MCP client configuration (e.g. claude_desktop_config.json for Claude Desktop) and add the ZoomEye server entry with your API key as an environment variable.
{
"mcpServers": {
"zoomeye": {
"command": "python",
"args": ["-m", "mcp_server_zoomeye"],
"env": {
"ZOOMEYE_API_KEY": "your_api_key_here"
}
}
}
}Restart your MCP client and run a test query
Restart Claude Desktop or your chosen client. Ask it to search for a network asset using a ZoomEye dork to verify the connection is working.
ZoomEye Examples
Client configuration
Claude Desktop configuration for the ZoomEye MCP server. The ZOOMEYE_API_KEY must be set in the env block.
{
"mcpServers": {
"zoomeye": {
"command": "python",
"args": ["-m", "mcp_server_zoomeye"],
"env": {
"ZOOMEYE_API_KEY": "your_api_key_here"
}
}
}
}Prompts to try
Example prompts to use with the ZoomEye MCP server for network asset intelligence.
- "Search ZoomEye for exposed MongoDB instances"
- "Find all devices running Apache 2.4 in Germany"
- "Search for open Elasticsearch clusters and return the first 20 results"
- "Look up network assets with ZoomEye dork 'port:22 country:US' and show me their IPs"
- "Find web servers with the title 'Cisco' using ZoomEye"Troubleshooting ZoomEye
Authentication errors or 401 responses from the ZoomEye API
Verify your API key is correct by checking your ZoomEye Profile page. Ensure the ZOOMEYE_API_KEY environment variable is set in the env block of your MCP config, not just in your shell session.
Server starts but returns no results for queries
ZoomEye queries use base64-encoded dork strings internally. Try simpler natural language queries and let the AI encode the search string. Check your ZoomEye account quota at https://www.zoomeye.ai to ensure you have remaining API credits.
Python module not found after pip install
Ensure you are using the same Python installation that pip installed the package into. Use 'which python' and 'which pip' to confirm they point to the same environment, or use a virtual environment with 'python -m venv .venv && .venv/bin/pip install mcp-server-zoomeye'.
Frequently Asked Questions about ZoomEye
What is ZoomEye?
ZoomEye is a Model Context Protocol (MCP) server that 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. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ZoomEye?
Follow the installation instructions on the ZoomEye GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ZoomEye?
ZoomEye works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ZoomEye free to use?
Yes, ZoomEye is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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