What do I need before using the server?
You need a Palo Alto Networks AI Security API key and an AI Security profile name.
@zm1990s
基本情報
概要はまだありません
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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
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.
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.
You need a Palo Alto Networks AI Security API key and an AI Security profile name.
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.
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.
Any client that supports the Model Context Protocol (MCP), including Claude Desktop, Visual Studio Code, and Cursor IDE.

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