A Model Context Protocol (MCP) server implementation for managing OPNsense firewalls. This server allows Claude and other MCP-compatible clients to interact with all features exposed by the OPNsense...
概览
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. The is a new standard that lets AI models (like Claude, ChatGPT, and others) securely interact with real-world tools, data, and systems—. 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.
README
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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?
- You run an MCP server (like this OPNsense MCP Server) on your machine or network.
- You connect your AI client (like Claude Desktop) to the MCP server by adding it in the settings.
- 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
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"opnsense": {
"command": "python",
"args": [
"/path/to/opnsense_mcp_server.py"
],
"env": {}
}
}
}