firewalla-mcp: Instructions file for Claude Code

CLAUDE.md

firewalla-mcp CLAUDE.md is an instructions file for Claude Code from scott-pallas/firewalla-mcp. It costs 1,232 tokens per session, scanned A, original, MIT.

Project instructions for building a read-only MCP server that connects an AI assistant to a Firewalla Gold network-security device. Firewalla Gold is a home or small-office router and security appliance.

In plain words
What is it for?
They are for implementing tools that list security alarms and network devices, check device health, and summarize network activity.
Why use it?
They give the agent the project purpose, architecture, target setup, dependencies, and limits so implementation stays aligned with the planned server.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is scott-pallas/firewalla-mcp's own configuration. It tells Claude Code how to work on firewalla-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything firewalla-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to scott-pallas/firewalla-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/scott-pallas/firewalla-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/scott-pallas/firewalla-mcp

Made for: Claude Code.

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Per session 1,232 This file is loaded in full into every session.
When invoked 1,232 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01232 $0.01232
Opus 5 $0.00616 $0.00616
Sonnet 5 $0.00246 $0.00246
Haiku 4.5 $0.00123 $0.00123

Measured 9d ago against content hash ae738128fc38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

firewalla-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Firewalla MCP Server POC

What We're Building

A Model Context Protocol (MCP) server that talks to a Firewalla Gold via its local API (port 8833), providing READ-ONLY network security tools.

Architecture

  • MCP Server (TypeScript, stdio transport) — exposes tools to any MCP client
  • Firewalla Client — uses node-firewalla library to talk to the box's local API
  • Auth — ETP token with public/private keypair (generated via firewalla-tools pairing process)

Target Environment

  • Firewalla Gold, router mode, IP: 10.0.1.1, local API on port 8833
  • Runs on macOS (same LAN as the Firewalla)
  • Node.js 25+

Key Dependencies

  • node-firewalla (npm) — client library for Firewalla local API
  • @modelcontextprotocol/sdk — MCP server SDK
  • TypeScript

MCP Tools to Implement (READ-ONLY ONLY)

Phase 1 (complete)

  1. get_alarms — List active security alarms (intrusion attempts, abnormal uploads, etc.)
  2. get_devices — List all devices on the network (hostname, IP, MAC, manufacturer, online status)
  3. get_network_status — Ping/health check of the Firewalla box
  4. get_device_flows — Get recent network flows for a specific device (aggregate summary)
  5. get_network_stats — Basic network statistics (bandwidth, connection counts)
  6. search_flows — Search individual flow records with filters (domain, IP, port, category, time range, per-device)
  7. get_audit_logs — Blocked/allowed traffic decisions from firewall rules

Implementation note: search_flows / get_audit_logs

These tools use a custom FWMessage (not FWGetMessage) because the Firewalla firmware expects flow query parameters flat in msg.data, not nested under msg.data.value like FWGetMessage does.

Phase 2 (complete)

  1. get_rules — List firewall rules/policies
  2. get_features — List enabled/disabled features
  3. get_offline_devices — Devices that went offline recently
  4. get_dns_queries — DNS query logs (domains resolved by devices)
  5. get_vlans — Network segments, VLANs, and network groups

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 107 lines · 1,232 tokens per session scan A ae738128fc38

Subscribe to this mod's changes

firewalla-mcp CLAUDE.md is an instructions file published in the GitHub repository scott-pallas/firewalla-mcp (2 stars, last pushed 5mo ago), licensed MIT. It adds 1,232 tokens to every session, about $0.0062 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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