Advertise
MCP.so
Sign In
P

PANW AIRS MCP Server

@zm1990s

Repository

Basic information

Category

Other

Last updated

Transports

stdio

Author

zm1990s

Submitted by

zm1990s

About PANW AIRS MCP Server

No overview available yet

#panw#ai-security#mcp-server

PANW AIRS MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

More Other MCP servers

Arsen MCP

Arsen Security

Run advanced phishing, voice phishing, deepfake fraud simulations, and cybersecurity awareness training from your AI assistant.

LoadOptimizer

LoadOptimizer plans truck, container and pallet loads with a real optimization engine, straight from your AI assistant. Describe the order in plain language, for example "plan 36 Euro pallets on a standard 13.6 m trailer

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K
M

Mandate Law

Mandate Law (Allen Gibby)

Mandate Law is a law firm for AI products, agents, and the consumer apps they live in, built so coding agents can work with counsel directly. An agent can check whether a request is in scope and get the fixed fee (free a

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Advertise