swag-mcp: Instructions file for Claude Code

CLAUDE.md

swag-mcp CLAUDE.md is an instructions file for Claude Code from jmagar/swag-mcp. It costs 2,366 tokens per session, scanned A, original, MIT.

Project instructions for SWAG MCP, a server that lets AI assistants manage Secure Web Application Gateway reverse-proxy settings through natural-language requests. A reverse proxy receives web requests and forwards them to other services, while SWAG is the gateway being configured.

In plain words
What is it for?
Use them when developing or testing SWAG MCP, working with its natural-language tool, nginx configuration templates, Docker deployment, or test and documentation files.
Why use it?
They give contributors a shared reference for the project's structure, configuration approach, testing, and development commands, reducing uncertainty when changing the codebase.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions .claude-plugin; mentions CLAUDE.md; mentions Codex.

This is jmagar/swag-mcp's own configuration. It tells Claude Code how to work on swag-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 swag-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jmagar/swag-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/jmagar/swag-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/jmagar/swag-mcp

Made for: Claude Code.

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Per session 2,366 This file is loaded in full into every session.
When invoked 2,366 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 $0.02366 $0.02366
Opus 5.5 $0.00946 $0.00946
Sonnet 5.5 $0.00473 $0.00473
Haiku 4.5 $0.00237 $0.00237

Measured 1mo ago against content hash f02e3aea8370, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

swag-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 1mo 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 · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SWAG MCP - Claude Memory Reference

See @README.md for complete project documentation and @.env.example for configuration options.

Project Overview

SWAG MCP is a Model Context Protocol (MCP) server that provides AI assistants with tools to manage SWAG (Secure Web Application Gateway) reverse proxy configurations through natural language commands.

Core Architecture

  • MCP Server Framework: FastMCP 2.11.3+ with streamable-http transport
  • Unified Tool Design: Single swag tool with 10 distinct actions instead of separate tools
  • Natural Language Interface: AI assistants translate commands to structured parameters
  • Docker Deployment: Production-ready containerized service
  • Template System: Secure Jinja2 templates for nginx config generation

Key Components

  • swag_mcp/: Core application package with modular architecture
  • tests/: Comprehensive test suite with performance, integration, and validation tests
  • docs/: Test command documentation with 600+ examples

Common Development Commands

Testing & Quality

# Run full test suite with coverage
uv run pytest --cov=swag_mcp --cov-report=term-missing

# Run specific test categories
uv run pytest tests/test_swag_actions.py      # Action functionality
uv run pytest tests/test_validation.py       # Input validation
uv run pytest tests/test_integration.py      # End-to-end tests

# Code quality checks
uv run ruff check swag_mcp/                  # Linting
uv run mypy swag_mcp/                       # Type checking
lefthook run pre-commit                     # Run all git hooks

Development Server

# Development mode with auto-reload
fastmcp dev swag_mcp/server.py

# Direct module execution
python -m swag_mcp

# Production Docker deployment
docker compose up -d

Build & Deploy

# Build Docker image
docker build -t swag-mcp .

# Run installer script
bash install.sh

# View container logs
docker compose logs -f swag-mcp

Tool Actions Reference

Read the full file on GitHub · 230 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. 1mo ago First seen · 230 lines · 2,366 tokens per session scan A f02e3aea8370

Subscribe to this mod's changes

swag-mcp CLAUDE.md is an instructions file published in the GitHub repository jmagar/swag-mcp (7 stars, last pushed 7d ago), licensed MIT. It adds 2,366 tokens to every session, about $0.0095 per session on Opus 5.5. 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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