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
基本信息
暂无概览
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。
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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