
SuricataMCP
SuricataMCP is a Model Context Protocol Server that allows MCP clients to autonomously use suricata for network traffic analysis. It enables programmatic interaction with Suricata through tools like get\_suricata\_version, get\_suricata\_help, and get\_alerts\_from\_pcap\_file.
README
SuricataMCP 🚀
SuricataMCP is a Model Context Protocol Server that allows MCP clients to autonomously use suricata for network traffic analysis. It enables programmatic interaction with Suricata through tools like get_suricata_version, get_suricata_help, and get_alerts_from_pcap_file.
📰 Full Guide on Medium
For your convenience, we created a full Medium article that walks you through how to install and use SuricataMCP with Cursor step by step. Supercharging Cursor with SuricataMCP: Network Security at Your Fingertips
📦 Features
- 🔡 Easily get Suricata version and help info.
- 📁 Parse .pcap files and retrieve alerts using a simple tool interface.
- 🧠 Built with the MCP protocol for seamless integration with AI coding tools like Cursor.
⬇️ Downloading Suricata
To use this project, you'll need to download and install Suricata:
Go to the official Suricata site: https://suricata.io/download/
Follow installation instructions for your OS (Linux, macOS, or Windows)
On Linux, you can also install via package manager, e.g.:
bash sudo apt install suricata
After installation, locate the Suricata binary and configuration files so you can set the correct paths in config.py.
⚙️ Installation Guide
Follow these steps to set up SuricataMCP on your system:
1. Clone the Repository
Open your terminal and run:
git clone https://github.com/medinios/SuricataMCP.git
cd SuricataMCP
2. Install dependencies (e.g., if using a virtual environment)
pip install -r requirements.txt
3. Edit the config.py file to specify your Suricata installation path:
SURICATA_DIR = "/path/to/suricata"
SURICATA_EXE_FILE = "suricata" # or "suricata.exe" on Windows
4. Add SuricataMCP to your AI platform with:
{
"mcpServers": {
"SuricataMcp": {
"command": "cmd",
"args": ["/c", "mcp", "run", "[YourPath]\\SuricataMcp\\suricata-mcp.py"]
}
}
}
🚀 Usage
Run the MCP server locally from your AI platform (like Cursor)
When running, the server exposes the following MCP tools:
- get_suricata_version(): Returns Suricata's version string.
- get_suricata_help(): Returns Suricata CLI help output.
- get_alerts_from_pcap_file(pcap_destination: str, destination_folder_results: str): Runs Suricata on the given .pcap file and returns the content of fast.log.
📄 Adding Custom Rules
To extend Suricata with your own detection rules:
- Add your custom rule files (e.g., custom.rules) to the suricata/rules directory.
⚠️ Disclaimer
We are not affiliated with the official Suricata project or the OISF (Open Information Security Foundation). SuricataMCP is an independent integration built for personal use inside Cursor. Example pcap was taken from PCAP-ATTACK
🤝 Contributors
This project was built by two developers passionate about security, context-aware systems, and building useful tools for the community. Every line of code, every CLI command, and every integration was a product of focused collaboration and shared curiosity.
🤝 Contributing
PRs and suggestions are welcome! Let's make SuricataMCP more accessible and programmable together.
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。