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PANW AIRS MCP Server

@zm1990s

PANW AIRS MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

zm1990s

投稿者

zm1990s

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

ツール

ツールは検出されませんでした

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 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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