PANW AIRS MCP Server
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"
}
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
zm1990sStar
-Language
-License
-Category
security
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