What prerequisites are needed?
Python 3.8 or higher, and the Nuclei binary must be installed and configured on the system.
@crazyMarky
Basic information
A Nuclei security scanning server based on MCP (Model Control Protocol), providing convenient vulnerability scanning services.一个基于 MCP (Model Control Protocol) 的 Nuclei 安全扫描服务器,提供便捷的漏洞扫描服务。
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_nuclei_server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Nuclei Server is a Nuclei security scanning service developed based on the MCP (Model Control Protocol). It allows large language models to execute Nuclei security scans, supporting various scanning options and JSON-formatted result output.
Install Python 3.8+, ensure the Nuclei binary is installed and configured, clone the repository, install UV, create a virtual environment, and install the mcp package. Configure your MCP client (e.g., CLINE) with the appropriate JSON, pointing to the uv command and the main.py script, and set the NUCLEI_BIN_PATH environment variable. Invoke scanning by specifying a target and optional parameters like templates, severity, or tags.
Python 3.8 or higher, and the Nuclei binary must be installed and configured on the system.
Add an MCP server entry in your client’s JSON config with the `uv` command, the directory containing `main.py`, and the `NUCLEI_BIN_PATH` environment variable set to the Nuclei binary location.
Scan results are returned in JSON format, including fields for success status, target, time cost, and an array of findings with template name, severity, matched location, and vulnerability info.
Fork the repository, create a feature branch, commit your changes, push the branch, and open a Pull Request.
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