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Opnsense Mcp

coreyhines/opnsense-mcp · 11 stars · Python · MIT

MCP server The OPNsense MCP Server provides comprehensive network management capabilities through the Model Context Protocol (MCP), enabling natural language interaction with your OPNsense firewall. Manage devices, monitor traffic, configure firewall rules, and troubleshoot network issues u

Install

The repo has no one-line install. Follow its README.

Open the repo

Files

README.md

OPNsense MCP Server

opnsense-mcp MCP server opnsense-mcp MCP server

MCP server for OPNsense firewall operations (ARP, DHCP, logs, rules, interfaces, system status, packet capture).

Use one of two deployment modes:

  • STDIO (local): best for Cursor/Claude Code/Continue running the server process directly.
  • SSE (centralized): best for shared, long-lived service over HTTPS.

Demo

Query your firewall with Claude Code CLI. Live example with real network data:

opnsense-mcp demo

Why This Exists

Built this because SSH'ing into the firewall to check logs or grab ARP data got old fast. Now you can ask Claude:

  • "What's happening on the network right now?"
  • "Show me the latest firewall blocks"
  • "Tell me about that host"
  • "Capture packets from the suspicious traffic"

Claude handles the firewall query via MCP and gives you analysis + context in one shot. Works on homelab or business deployments equally well.

Quick Start

1) Local setup (required for both modes)

uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
cp examples/.env.example ~/.env

Edit ~/.env:

OPNSENSE_API_KEY=your_api_key
OPNSENSE_API_SECRET=your_api_secret
OPNSENSE_FIREWALL_HOST=your.firewall.host
MCP_SECRET_KEY=replace_me

2) Choose mode

Mode A: STDIO (local IDE/client)

Configure your MCP client to launch mcp_start.sh:

{
  "mcpServers": {
    "opnsense-mcp": {
      "command": "/bin/bash",
      "args": ["/absolute/path/to/opnsense-mcp/mcp_start.sh"],
      "cwd": "/absolute/path/to/opnsense-mcp"
    }
  }
}

See full guide: docs/GETTING_STARTED.md.

Mode B: SSE (centralized service)

Run the Linux installer (Podman + quadlet + Caddy TLS):

sudo bash deploy/install.sh

Clients connect to:

https://<your-hostname>/sse

See deployment docs:

What Is Available

Primary tools:

  • Discovery: arp, dhcp, lldp
  • Monitoring: system, get_logs, packet_capture
  • Firewall rules: fw_rules, mkfw_rule, set_fw_rule, toggle_fw_rule, rmfw_rule
  • Interfaces: interface_list

Full reference: docs/REFERENCE/FUNCTION_REFERENCE.md

What's New (June 2026)

Five PRs landed recently. See docs/FEATURES_UPDATE.md for full details and usage examples.

  • Streamable HTTP transport — native FastMCP server supports stdio, sse, and streamable-http (MCP spec 2025-03-26). Deployed via deploy/install.sh.
  • DHCP client_id (DUID) support — mk_dhcp_host and move_dhcp_host accept an optional DUID for stateful DHCPv6 matching.
  • Semver image tags — images are tagged from pyproject.toml version + git short SHA (1.0.0-dev.a1b2c3d) or release tags (1.0.0).
  • Container registry — pinned tags only; :latest is rejected. Set OPNSENSE_MCP_IMAGE_REPO, or build locally with --build-local.
  • install.sh readonly fix — Bash readonly clash between install.sh and lib.sh resolved.

Use Cases

  • Homelab network troubleshooting — Query firewall logs from terminal, get Claude's take on what's happening
  • Security operations — Automate incident triage: "Analyze the last hour of blocks"
  • Infrastructure automation — Write MCP-aware scripts that query firewall state dynamically
  • DevOps troubleshooting — Quick VLAN/interface status checks without SSH sessions

Feedback

First 10 users get feedback incorporated into the tool. If you find bugs or have ideas, file an issue or discussion.

Where to look first when reviewing

scripts/risk_map.py ranks source files by defect likelihood from git history — churn times fix density — so a review reads the risky files first and can stop early. It finds no bugs; it finds where they concentrate.

python3 scripts/risk_map.py --top 15

CI runs it on every pull request alongside a complexity report (radon) and a security-pattern pass (bandit) in the advisory Insights workflow, which never blocks a merge. Thresholds that gate the build come later, once the numbers are trusted.

Documentation Map

License

This project is released under the MIT License.

Facts

Kind
MCP server
Repo
coreyhines/opnsense-mcp
Group
Uncategorized
Stars
11
License
MIT
Language
Python
Last push
2026-08-31
Forks
1

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