opnsense-mcp-server

floriangrousset/opnsense-mcp-server

3.4

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The OPNsense MCP Server allows AI models to manage OPNsense firewalls using natural language, leveraging the Model Context Protocol for secure interactions.

OPNsense MCP Server

OPNsense® is a powerful open-source firewall and routing platform built on FreeBSD. Managing OPNsense typically involves using its web interface or interacting directly with its comprehensive API. This project offers a way to manage your OPNsense firewall using natural language through AI clients like Claude Desktop. It does this by providing a Python server application that implements Anthropic's Model Context Protocol (MCP), a standard allowing AI models to securely connect to and utilize external tools. This locally running server listens for requests from MCP clients, translates them into the appropriate OPNsense API calls, and returns the results.

What is an MCP Server? Why Is It a Game Changer for AI?

The Model Context Protocol (MCP) is a new standard that lets AI models (like Claude, ChatGPT, and others) securely interact with real-world tools, data, and systems—not just answer questions, but actually take action. You can think of it as "giving hands to the brain": the AI is the brain, and the MCP server is the set of hands that can reach out and do things in the real world. For more technical details, refer to the official MCP specification.

Why is this important?

  • From Answers to Actions: Traditional AI models can only provide information. With MCP, they can actually perform tasks—like managing your firewall, sending emails, or updating files—by calling tools exposed by an MCP server.
  • Security and Trust: MCP is designed to be secure and auditable. You control exactly what the AI can access, and you can see every action it takes.
  • Plug-and-Play for AI Clients: Tools like Claude Desktop make it easy to connect to MCP servers. You just add the server in the settings, and suddenly your AI can manage your OPNsense firewall, interact with your files, or do anything else the server exposes.
  • Separation of Concerns: The AI doesn't need to know how to talk to your firewall or database. The MCP server handles all the details, so you get the power of automation without the risk of giving the AI direct, unrestricted access.

How does it work in practice?

  1. You run an MCP server (like this OPNsense MCP Server) on your machine or network.
  2. You connect your AI client (like Claude Desktop) to the MCP server by adding it in the settings.
  3. The AI can now use the tools exposed by the server—securely, with your oversight.

MCP servers are a game changer because they let you safely delegate real-world tasks to AI, making your AI not just smart, but truly useful.

Below are some of the key features provided by this OPNsense MCP Server:

Features

  • Full access to OPNsense API functionality
  • Firewall rule management
  • Network interface monitoring
  • DHCP lease management
  • Firewall alias management
  • System status and health monitoring
  • Service management
  • VPN connection monitoring
  • Plugin management
  • Custom API calls for any OPNsense endpoint
  • Basic Firewall Security Audit

Requirements

  • Python 3.10 or higher
  • OPNsense firewall with API access configured
  • MCP-compatible client (e.g., Claude Desktop)

Prerequisites

  • git (for cloning the repository)
  • uv for Python package management (see installation below).
  • jq (command-line JSON processor) if you plan to use the setup-claude.sh script for automated Claude Desktop configuration.

Installation

  1. Clone the Repository:

    git clone https://github.com/floriangrousset/opnsense-mcp-server
cd opnsense-mcp-server

  2. Install uv (if not already installed):

    uv is a fast Python package installer and environment manager. Install it using the official instructions:

    # For macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# For Windows (PowerShell)
curl -LsSf https://astral.sh/uv/install.ps1 | powershell -c -

  3. Create and Activate Virtual Environment:

    It's highly recommended to use a virtual environment.

    # Create a virtual environment
uv venv

# Activate it (Linux/macOS)
source .venv/bin/activate

# Activate it (Windows)
.venv\Scripts\activate

  4. Install Dependencies:

    uv pip install -r requirements.txt

  5. Make Scripts Executable (Linux/macOS):

    chmod +x opnsense-mcp-server.py
chmod +x setup-claude.sh

Setup OPNsense API Access

Before using this server, you need to create API credentials in your OPNsense firewall:

  1. Log in to your OPNsense web interface
  2. Navigate to System → Access → Users
  3. Select the user you want to create API keys for (or create a new user)
  4. Scroll down to the API keys section and click the + button
  5. Download the API key file which contains your credentials

Configuring Claude Desktop

To use this MCP server with Claude Desktop, you can either configure it manually or use the provided setup script.

Method 1: Using the Setup Script (Recommended)

  1. Ensure you have jq installed on your system. You can typically install it using your system's package manager (e.g., apt install jq, yum install jq, brew install jq).
  2. Make the script executable: chmod +x setup-claude.sh
  3. Run the script: bash setup-claude.sh
  4. The script will attempt to automatically find your Claude Desktop configuration file and add the necessary server entry.
  5. Restart Claude Desktop for the changes to take effect.

Method 2: Manual Configuration

  1. Install Claude Desktop if you haven't already

  2. Open Claude Desktop

  3. Access the settings from the Claude menu

  4. Go to the Developer tab

  5. Click on "Edit Config"

  6. Find the mcpServers section (or add it if it doesn't exist) and add the following entry:

    {
  "mcpServers": {
    "opnsense": {
      "command": "python",
      "args": [
        "/path/to/opnsense-mcp-server.py"
      ],
      "env": {}
    }
  }
}

    Replace /path/to/opnsense-mcp-server.py with the absolute path to your opnsense-mcp-server.py script.

  7. Save the config file and restart Claude Desktop

Usage Examples

Once the MCP server is configured and running with Claude Desktop, you can interact with your OPNsense firewall using natural language. Here are some examples:

  1. Configure the connection to your OPNsense firewall:

    Configure my OPNsense firewall with the following information:
URL: https://192.168.1.1
API Key: your_api_key
API Secret: your_api_secret

  2. Check the system status:

    What's the current status of my OPNsense firewall?

  3. Manage firewall rules:

    List all firewall rules.

    Add a new firewall rule to allow HTTP traffic from any source to my web server at 192.168.1.100.

    Delete the firewall rule with UUID abc123def456.

  4. Work with firewall aliases:

    Show me all the firewall aliases.

    Add IP address 10.0.0.5 to the alias named "BlockedIPs".

  5. Monitor network interfaces:

    Show me all network interfaces and their status.

  6. View system health:

    What's the current health status of my OPNsense system? Show CPU, memory, and disk usage.

  7. Manage services:

    Restart the DHCP service.

  8. Examine VPN connections:

    Show me all active OpenVPN connections.

  9. Execute a custom API call:

    Execute a GET request to the endpoint "/interfaces/overview/interfacesInfo".

  10. Perform a basic security audit:

    Perform a security audit of my OPNsense firewall configuration.

Security Considerations

  • Use a dedicated user with minimal required privileges for API access
  • Use HTTPS for your OPNsense web interface
  • Consider setting up a firewall rule to restrict API access to specific IP addresses
  • Regularly audit API access logs

Production Environment Disclaimer

Important: For maximum security in production environments, it is strongly recommended to adhere to strict management practices:

  • Disable Web GUI & API: On production firewalls, consider disabling the Web GUI (HTTP/HTTPS access) and the API access entirely after initial setup.
  • Console Management: Primary management of production firewalls should ideally be performed via a direct console connection (serial cable).
  • Configuration Staging: Alternatively, configure the firewall in a secure, isolated lower environment (e.g., staging or lab) using the Web GUI/API. Once finalized and tested, export the configuration (config.xml) and import it onto the production firewall (which could be running headless without GUI/API enabled).

This MCP server provides powerful management capabilities but relies on the OPNsense API being enabled. Carefully evaluate the risks and benefits before enabling the API on critical production systems. Use dedicated, least-privilege API users and restrict access via firewall rules if the API must remain active.

Troubleshooting

If you encounter issues:

  1. Check the OPNsense API credentials
  2. Verify the firewall is accessible from your network
  3. Ensure the API is enabled in OPNsense
  4. Check the permissions of the API user
  5. Look for any error messages in the Claude Desktop logs

References and Acknowledgements

  • OPNsense®: This project interacts with OPNsense firewalls. OPNsense is an open source, FreeBSD-based firewall and routing software. More information can be found on the OPNsense Website and their API Documentation.
  • Anthropic & Model Context Protocol (MCP): This server implements MCP to allow clients like Claude Desktop to interact with OPNsense. Learn more about how Claude uses tools via the Anthropic Tool Use Documentation.
  • Project Logo: The logo opnsense-mcp-server-logo.png and part of the project code was generated with the assistance of AI.

Contributing

Contributions are welcome! Please see the CONTRIBUTING.md file for guidelines on how to submit issues or pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.