MCP Nuclei Server

@crazyMarky

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

crazyMarky

MCP Nuclei Server について

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。

#mcp#nuclei#pentest #cline #security-tools #large-language-models #mcp-servers #mcp-server

MCP Nuclei Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp_nuclei_server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Nuclei Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Nuclei Server?

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.

How to use MCP Nuclei Server?

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.

Key features of MCP Nuclei Server

Execute Nuclei security scans via MCP
Configurable template and tag filtering
Severity-based vulnerability filtering (critical, high, medium, low, info)
JSON format output for results
Easy-to-integrate MCP service

Use cases of MCP Nuclei Server

Automate security scanning of web targets via an LLM agent
Integrate vulnerability detection into AI-powered workflows
Run targeted scans with specific templates or severity filters
Obtain structured JSON results for further analysis

よくある質問

What prerequisites are needed?

Python 3.8 or higher, and the Nuclei binary must be installed and configured on the system.

How do I configure the server?

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.

What output format does it return?

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.

How can I contribute?

Fork the repository, create a feature branch, commit your changes, push the branch, and open a Pull Request.

「開発者ツール」の他のコンテンツ

Heard

Let your cloud agents talk to you. Grok Bot, Meta Muse, ChatGPT, Claude, Devin and others report progress to Heard, which reads it out loud on your Mac, and they pick up the replies you send back.

LocalCan

Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

CircleCI MCP Server

CircleCI

Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents

Innovalyxx Sovereign Edge

edge.innovalyxx.com

Verified cyber-physical AI tools. 25 MCP tools, x402-payable on Base.

Modelglass

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott