System · MODEL CONTEXT PROTOCOL

jguimera SecurityCopilotMCPServer

MCP Server that integrates with Security Copilot, Sentinel and other tools (in the future). It enhance the process of developing , testing and uploading Security Copilot artifacts.

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WHAT IT CONNECTS

jguimera SecurityCopilotMCPServer 为 AI Agent 提供什么

**Sentinel Integration**: Execute KQL queries against your Sentinel workspace
**Security Copilot Management**:
List existing skillsets/plugins
Upload new or update existing skillsets/plugins
Run prompts or skills within Security Copilot
**Authentication Support**: Multiple authentication methods including interactive browser, client secret, and managed identity
**Promptbook test and Update**
**Run Advance Hunting queries in Defender XDR**
Python 3.8+
Microsoft Sentinel workspace
Microsoft Security Copilot access
Appropriate Azure permissions for Sentinel and Security Copilot
Clone the repository:
Install dependencies:
Create a `.env` file with the following configuration:
**run_sentinel_query**: Execute KQL queries in Sentinel
**get_skillsets**: List skillsets in Security Copilot
**upload_plugin**: Upload or update a skillset/plugin
**run_prompt**: Run a prompt or skill in Security Copilot
Cursor Project Rules (securitycopilotdev.mdc): This file include some Custom Cursor Rules to help the agents in the process definition and understanding user prompts.
MCP Client Configuration (mcp.json): File that connects Cursor to the MCP server.
Fork the repository
Create your feature branch (`git checkout -b feature/amazing-feature`)
Commit your changes (`git commit -m 'Add some amazing feature'`)
Push to the branch (`git push origin feature/amazing-feature`)
Open a Pull Request

SECURITY

MCP 收录不等于安全审核

MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前，请检查代码、环境变量、网络行为、软件包来源与维护状态。