PANW AIRS MCP Server

Name: PANW AIRS MCP Server
Author: zm1990s

@zm1990s

代码仓库

关于 PANW AIRS MCP Server

暂无概览

#panw #ai-security #mcp-server

基本信息

分类

其他

传输方式

stdio

发布者

zm1990s

提交者

zm1990s

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "PANW-AI-Security": {
      "command": "uv",
      "args": [
        "run",
        "src/panw_airs_mcp_local.py"
      ],
      "env": {
        "AIRS_PROFILENAME": "PROFILENAME",
        "AIRS_API_KEY": "APIKEY"
      }
    }
  }
}

工具

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概览

What is PANW AIRS MCP Server?

The PANW AIRS MCP Server integrates Palo Alto Networks AI security analytics into any Model Context Protocol (MCP) client, such as Claude Desktop, Visual Studio Code, or Cursor IDE. It enables real-time assessment of content security risks when using large language models, helping enforce AI security compliance.

How to use PANW AIRS MCP Server?

Download the project files from GitHub. For the local version, configure the mcp.json file in your MCP client with the command python and arguments pointing to the local script, setting the AIRS_API_KEY and AIRS_PROFILENAME environment variables. For the SSE version, export the same environment variables and run python sse-version/src/panw_airs_mcp_sse.py --host 0.0.0.0 --port 8080, then point your MCP client to http://localhost:8080.

Key features of PANW AIRS MCP Server

Real-time content risk analysis
Seamless integration with any MCP-compatible client
Supports text input/output and code input/output
Content detection via Palo Alto Networks AI Security API
Available as local version and SSE server version

Use cases of PANW AIRS MCP Server

Assess content security risks in real time when using LLMs
Ensure security compliance for AI interactions
Integrate AI security analytics into Claude Desktop, VS Code, or Cursor IDE

FAQ from PANW AIRS MCP Server

What do I need before using the server?

You need a Palo Alto Networks AI Security API key and an AI Security profile name.

What are the two versions available?

The server provides a local version for direct client integration (e.g., via mcp.json in Cursor) and an SSE server version that runs as a standalone HTTP server.

How does the SSE v2 version differ from v1?

In the SSE v2 version the API key is obtained directly from the HTTP request, so you do not need to set the AIRS_API_KEY environment variable.

What clients does the server support?

Any client that supports the Model Context Protocol (MCP), including Claude Desktop, Visual Studio Code, and Cursor IDE.

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