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PANW AIRS MCP Server

@zm1990s

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其他

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stdio

作者

zm1990s

提交者

zm1990s

关于 PANW AIRS MCP Server

暂无概览

#panw#ai-security#mcp-server

PANW AIRS MCP Server 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"
      }
    }
  }
}

PANW AIRS MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

常见问题

1

What do I need before using the server?

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

2

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.

3

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.

4

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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