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Security & secrets · Security · mcp
pfSense MCP Server
Integrates with pfSense firewall systems through REST API, XML-RPC, and SSH to enable natural language control of security operations, IP blocking, firewall rule management, compliance checking for PCI-DSS and HIPAA frameworks, threat analysis, and emergency incident response including network isolation and panic mode activation.
Overall score
61
mcppythonsecurityregistry listed
Setup difficulty
Easy
Install method
pip · local
Supported providers
Any provider
Supported hosts
MCP-compatible host
Permission posture
high
Last verified
Apr 10, 2026
Score breakdown
Utility52
Compatibility61
Ease of setup88
Reliability54
Docs quality78
Adoption46
Safety & maintenance50
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
Agent automation
Works with
MCP-compatible hostscommunity registry listed
Capabilities
access controlsensitive operationscredential-aware tasks
Sources & trust
Verified registry fields
SummaryRepository
This entry is live under the scaled catalog policy: maintainer repo + community registry metadata are visible, but VerdictLens did not treat it as fully official-field verified.
pfSense MCP Server repo
GitHub · Tier 4 · Apr 10, 2026
Repository
Awesome MCP Registry listing
Community registry · Tier 2 · Apr 10, 2026
SummaryDescriptionSubcategoryInstall methodCapabilities
pfSense MCP Server VerdictLens scale review
Manual review · Tier 3 · Apr 10, 2026
Best-fit guidanceWorks-with guidancePermission postureOverall score
Strengths
- Clear MCP-server-shaped capability boundary from a maintainer-controlled repository and structured registry entry.
- Imported from a structured community registry with enough metadata to keep the live entry specific instead of hand-wavy.
Things to watch
- VerdictLens has not manually reviewed every operational claim for this entry; trust the repo and source links more than the editorial score.
- This entry was promoted under the wider scale-up threshold: structurally clear and source-transparent, but not manually or officially verified end-to-end by VerdictLens.