Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Pfsense

by felhen-aiversion 0.3.1i★ –iRuns on your computer
Registry nameio.github.felhen-ai/mcp-pfsense

Install

Overview

Description from the maker (original English)

Manage pfSense firewalls through AI assistants — rules, DHCP, DNS, and more

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pfsense": {
      "command": "uvx",
      "args": [
        "mcp-pfsense"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pfsense -- uvx mcp-pfsense

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pfsense": {
      "command": "uvx",
      "args": [
        "mcp-pfsense"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pfsense": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-pfsense"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account felhen-ai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 5581 servers in this category
  • Published to the registry more recently than 77% of the other 5581 servers in this category
  • Basic checks equal to or better than 100% of the other 5581 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Pfsense safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 6 days ago

Computer or cloud

Desktop Commander

MCP server for terminal commands, file operations, and process management

by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 18 days ago

Runs on your computer

Cloudflare MCP

Cloudflare MCP servers

by cloudflareWidely used★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-pfsense

MCP server for managing pfSense firewalls through AI assistants like Claude, ChatGPT, and Copilot.

Requires: pfrest package installed on your pfSense instance (provides the REST API).

Features

20 tools across 7 categories:

CategoryToolsDescription
Systemget_system_status, get_interfacesVersion, CPU, memory, uptime, temperature, network interfaces
Firewalllist_firewall_rules, add_firewall_rule, delete_firewall_rule, list_firewall_aliasesRule management with interface filtering, alias listing
DHCPlist_dhcp_leases, list_dhcp_static_mappings, add_dhcp_static_mapping, delete_dhcp_static_mappingActive leases, IP reservations
DNSlist_dns_host_overrides, add_dns_host_override, delete_dns_host_overrideUnbound DNS Resolver host overrides
Pending changesget_pending_changes, apply_changesSee what is staged per subsystem (firewall, dhcp, dns) and apply it
Monitoringget_gateway_status, get_arp_table, list_services, get_firewall_logsGateway health, connected devices, service status, recent raw firewall log entries
Servicesrestart_serviceRestart any pfSense service
Safety
  • Two-step confirmation for destructive operations (delete rules, delete mappings, restart services, apply changes): the tool returns a warning on first call and only executes when called again with confirm=true.
  • Writes are staged, not live. Like the pfSense WebGUI, add_* and delete_* store the change in the config but do not activate it. The tool response says so (applied: false, plus a pending note). Activate with apply_changes(subsystem, confirm=true) — which reloads that subsystem, including anything a human left staged in the WebGUI — or pass apply=true on the write itself when you explicitly want a one-shot change. Nothing the assistant does reaches the packet filter without one of those two explicit steps.
  • delete_dhcp_static_mapping takes the mapping's interface (its parent_id in list_dhcp_static_mappings) and mapping_id; a mapping is addressed by both.

Installation

# Using uvx (recommended)

uvx mcp-pfsense

Using pip

pip install mcp-pfsense

Prerequisites
  1. pfSense with pfrest package installed
  2. A user account with API access (typically admin)

Configuration

Set environment variables:

VariableRequiredDefaultDescription
PFSENSE_HOSTYes—pfSense hostname or IP
PFSENSE_PASSWORDYes—API user password
PFSENSE_USERNAMENoadminAPI username
PFSENSE_PORTNo443API port
PFSENSE_SCHEMENohttpshttp or https
PFSENSE_VERIFY_SSLNofalseVerify SSL certificate
Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "pfsense": { "command": "uvx", "args": ["mcp-pfsense"], "env": { "PFSENSE_HOST": "10.10.10.1", "PFSENSE_PASSWORD": "your-password" } } } }

Claude Code
claude mcp add pfsense -- uvx mcp-pfsense

Then set environment variables in your shell or .env file.

Usage Examples

Once connected, ask your AI assistant:

  • *"What's the pfSense system status?"*
  • *"Show me all firewall rules on the LAN interface"*
  • *"List active DHCP leases"*
  • *"Add a DNS entry for nas.home.lan pointing to 10.10.10.50"*
  • *"What devices are connected to the network?"* (ARP table)
  • *"Show gateway health and latency"*
  • *"Show the 50 most recent firewall log entries"* (read-only get_firewall_logs)
  • *"Create a firewall rule to allow TCP port 8080 on LAN"*
  • *"Reserve IP 10.10.10.60 for MAC aa:bb:cc:dd:ee:20"*

API Compatibility

  • pfSense: 2.7.x and 2.8.x
  • pfrest: REST API v2 — any v2.x release, except list_dhcp_static_mappings, which needs v2.7.0 or later (it uses the /services/dhcp_server/static_mappings collection endpoint added in that release).
  • Python: 3.11+

The endpoint, parameters and encoding each tool uses are pinned by tests/test_client_endpoints.py and tests/test_wire_format.py, derived from the pfrest v2 endpoint definitions. Versions before 0.2.0 called several endpoints that do not exist in pfrest v2 (see Troubleshooting).

Note: pfrest runs on nginx (port 80 by default), separate from the pfSense WebGUI (lighttpd on port 443). If your pfrest is configured on a non-standard port, set PFSENSE_PORT and PFSENSE_SCHEME accordingly.

Troubleshooting

Only get_system_status and get_arp_table work; everything else returns 400/404

mcp-pfsense 0.1.1 and earlier called singular endpoints for listing (/interface, /firewall/rule, /firewall/alias) and legacy paths that pfrest v2 does not serve (/status/dhcp_leases, /services/dhcpd/static_mapping, /services/unbound/host_override, /status/gateway, /status/service for GET). Upgrade to 0.2.0 or later.

403 on list_services or other reads

pfrest checks the privileges of the API user per endpoint. Grant the user the api-v2-* privileges for the endpoints you need (or page-all for full access) under System → User Manager.

ModuleNotFoundError: No module named 'mcp.server.fastmcp'

The MCP Python SDK 2.0 removed the module that mcp-pfsense 0.1.1 and earlier import, so fresh installs (uvx mcp-pfsense, pip install) failed on startup. Upgrade to 0.2.0 or later, which pins mcp<2. If you must stay on an older mcp-pfsense: uvx --with "mcp<2" mcp-pfsense.

A rule / mapping / override was created but is not in effect

That is the default: writes are staged (see Safety). Check with get_pending_changes(subsystem) and activate with apply_changes(subsystem, confirm=true), or in the WebGUI. If a write returns 200 but nothing is stored at all, the pfrest `read_only` setting is on (System → REST API → Settings).

Development

git clone https://github.com/felhen-ai/mcp-pfsense.git

cd mcp-pfsense python -m venv .venv source .venv/bin/activate pip install -e ".[dev]"

Run tests

pytest

Lint and type check

ruff check . mypy src/

License

MIT

Repository and registry compatibility

The canonical repository is https://github.com/felhen-ai/mcp-pfsense. Existing GitHub clone and issue URLs redirect to this repository. Do not recreate a repository at the old address, which would remove those redirects.

The canonical MCP Registry identifier is io.github.felhen-ai/mcp-pfsense. The legacy identifier io.github.antonio-mello-ai/mcp-pfsense remains supported with a separate server.legacy.json manifest. Both identifiers install the same mcp-pfsense package from PyPI, and the package name and CLI command remain unchanged. Keep both ownership markers in this README so future releases can be registered under either identifier.

Ask PopNx