PANW AIRS MCP Server

Created By

zm1990sa year ago

Overview

what is PANW AIRS MCP Server?

The PANW AIRS MCP Server integrates Palo Alto Networks AI security analytics capabilities into any client that supports the Model Context Protocol (MCP), allowing for real-time assessment of content security risks when using large language models.

how to use PANW AIRS MCP Server?

To use the server, download the project files from GitHub, configure your MCP client with the necessary API key and profile name, and run the server locally or in SSE mode.

key features of PANW AIRS MCP Server?

Real-time content risk analysis
Seamless integration with MCP-compatible clients
Support for multiple input types (text, code)
Content detection using Palo Alto Networks AI Security API
Local and SSE server versions available

use cases of PANW AIRS MCP Server?

Assessing security risks in AI-generated content
Integrating security analytics into development environments like Visual Studio Code
Ensuring compliance during AI interactions

FAQ from PANW AIRS MCP Server?

What do I need to start using the server?

You need a Palo Alto Networks AI Security API key and to configure your AI Security profile name.

Can I use this server with any MCP-compatible client?

Yes, it is designed to work with any client that supports the Model Context Protocol.

Is there documentation available for installation and usage?

Yes, detailed documentation can be found on the project's GitHub page.

Server Config

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

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