pfsense-mcp-server: Model Context Protocol (MCP) server for pfSense firewall management

by gensecaihq · MCP Server · ★ 102

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install pfsense-mcp-server

git clone https://github.com/gensecaihq/pfsense-mcp-server.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claudeclaude-codeclaude-desktopcybersecurityfastmcpfirewallfirewall-managementgenaihacktoberfestllm

Quick Facts

Stars102
Forks20
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score75/100
Open Issues1
Last Updated2026-09-23
Created2025-06-16
Platformsclaude-code, cli, mcp, python
Est. Tokens~16k

About pfsense-mcp-server

pfSense Enhanced MCP Server A Model Context Protocol (MCP) server for managing pfSense firewalls through Claude Desktop, Claude Code, and other MCP-compatible clients. Verified against the pfSense REST API v2 PHP source code for production accuracy. Supported pfSense Versions Requires the [pfSense REST API v2 pack

Compatible Skills

These tools work well together with pfsense-mcp-server for enhanced workflows:

  • pentest-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)
  • multiCAD-mcp — semantic(0.33)+same_lang+similar_pop+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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