Pfsense MCP Server
P

Pfsense MCP Server

A production - level natural language interaction server for the pfSense firewall, implementing a security control interface with GenAI applications such as Claude Desktop through the MCP protocol.
2.5 points
8.8K

What is the pfSense MCP Server?

The pfSense MCP Server is a Model Context Protocol (MCP) service that allows users to interact with the pfSense firewall through natural language. It simplifies firewall management, enabling non - technical personnel to operate it easily.

How to use the pfSense MCP Server?

By installing and configuring the MCP server, you can connect to pfSense using the command line, REST API, or SSH and perform security operations through natural language instructions.

Applicable Scenarios

Suitable for environments that require rapid response to network security threats, compliance checks, or daily firewall management, especially for enterprises that wish to leverage AI technology to improve the efficiency of security operations.

Main Features

Natural Language Interface
Interact with the pfSense firewall through simple natural language instructions without complex technical knowledge.
Multi - level Access Control
Provides 5 different permission levels, from read - only monitoring to emergency response, ensuring security and flexibility.
Multiple Connection Methods
Supports REST API, XML - RPC, and SSH connections to meet the usage habits of different users.
GenAI Integration
Compatible with GenAI applications such as Claude Desktop and Continue, enhancing the ability of intelligent security operations.
Production - Ready
Includes audit logs, rate limiting, and caching functions to ensure stable and reliable services.
Advantages
Lower the technical threshold for firewall management
Improve the efficiency and accuracy of security operations
Support integration with multiple AI tools
Provide fine - grained access control
Limitations
Requires a certain amount of initial configuration time
Has certain requirements for network connection stability
Some advanced features may require additional authorization

How to Use

Clone the Repository
Clone the pfSense MCP server code repository to your local computer.
Configure the Environment
Create a .env file based on the example file and fill in the relevant information of pfSense.
Run the Service
Start the MCP server using Docker to ensure the service runs normally.
Configure the AI Client
Add the MCP server configuration in Claude Desktop or other GenAI tools.

Usage Examples

View System Status
Users can query the current status of pfSense, such as CPU usage and memory occupancy, through natural language.
Block Suspicious IP
Users can directly block a specific IP address through natural language instructions, improving the speed of security response.
Perform Compliance Check
Users can trigger a PCI compliance check using natural language to ensure compliance with industry standards.

Frequently Asked Questions

What prerequisites do I need to use the pfSense MCP Server?
Does the pfSense MCP Server support other AI tools?
How to ensure the security of the server?
Where should I go for help if I encounter problems?

Related Resources

GitHub Project Page
Source code and development documentation of the pfSense MCP server
Claude Desktop Setup
How to configure the pfSense MCP server in Claude Desktop
GenAI Integration Guide
How to integrate the pfSense MCP server with other GenAI tools
API Documentation
API interface description of the pfSense MCP server
Deployment Guide
How to deploy the pfSense MCP server in different environments

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "pfsense": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--env-file", "/path/to/.env", "pfsense-mcp:latest"],
      "env": {
        "MCP_MODE": "stdio"
      }
    }
  }
}

{
  "mcpServers": {
    "pfsense": {
      "command": "python",
      "args": ["/path/to/pfsense-mcp-server/main.py"],
      "env": {
        "PFSENSE_URL": "https://your-pfsense.local",
        "PFSENSE_API_KEY": "your-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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