antonio-mello-ai/mcp-pfsense

Overview

An MCP server that allows AI assistants to manage pfSense firewalls. It exposes firewall operations as MCP tools, enabling automated configuration and monitoring via natural language or scripts. Built in Python, it follows the Model Context Protocol for interoperability with AI clients.

Best for

Best for
Admins and developers automating pfSense firewall management through AI assistants

Use cases

• Automating firewall rule changes through natural language commands
• Querying pfSense status and logs via AI assistants
• Integrating pfSense security policies into automated compliance workflows

How to use

Install

uvx mcp-pfsense

Tools exposed

• PFSENSE_HOST
• PFSENSE_PASSWORD
• PFSENSE_USERNAME
• PFSENSE_PORT
• PFSENSE_SCHEME
• PFSENSE_VERIFY_SSL

Tested with

Claude Desktop, Claude Code, ChatGPT

Notes

An MCP server that allows AI assistants to manage pfSense firewalls. It exposes firewall operations as MCP tools, enabling automated configuration and monitoring via natural language or scripts. Built in Python, it follows the Model Context Protocol for interoperability with AI clients.

3 stars on GitHub. Last updated 2026-03-10. Licensed MIT.

Use cases

• Automating firewall rule changes through natural language commands
• Querying pfSense status and logs via AI assistants
• Integrating pfSense security policies into automated compliance workflows

Pros

• Provides direct programmatic control of pfSense through standard MCP protocol
• Open source Python implementation for transparency and extensibility
• Enables hands-off firewall management via AI assistants

Cons

• Low community adoption (3 stars) indicates limited testing and real-world use
• Requires secure network access to pfSense and careful permission handling
• May not cover all pfSense features or complex configurations

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.