mcp-arrstack AGENTS.md

Contributor instructions for mcp-arr-stack, a Python MCP server that provides agent tools for media services such as Sonarr, Radarr, Lidarr, Prowlarr, Readarr, Seerr, Tautulli, and Plex. The project is developed and tested inside Docker because Python is not installed on the host.

In plain words
What is it for?
Use them to understand the server and its service clients, configure development work, run builds, tests, and lint checks, and add missing service tools when needed.
Why use it?
They explain the project structure and the required container-based commands, reducing setup mistakes for contributors.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/indlns/mcp-arrstack/agents-md
Clone the repo
git clone --depth 1 https://github.com/indlns/mcp-arrstack

Made for: Codex, OpenCode.

Per session 3,594 This file is loaded in full into every session.
When invoked 3,594 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.03594 $0.03594
Opus 5 $0.01797 $0.01797
Sonnet 5 $0.00719 $0.00719
Haiku 4.5 $0.00359 $0.00359

Measured yesterday against content hash 1fb4c72bc442, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-arrstack AGENTS.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 yesterday.

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.

AGENTS.md · 287 lines

How it starts

The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP ARR Stack — Agent Instructions

Purpose

MCP (Model Context Protocol) server providing LLM tools for ARR Stack media automation services: Sonarr, Radarr, Lidarr, Prowlarr, Readarr, Seerr, Tautulli, Plex.

Directory Structure

src/
  server.py          # Main entry point — tool definitions, dispatch table, MCP server factory
  config.py          # Dataclass configs per service; load_config() reads env vars
  client.py          # Async HTTP clients: BaseARRClient (v3 API), SeerrClient (v1), TautulliClient (/api/v2), PlexClient
  http_server.py     # ASGI app: Starlette + StreamableHTTPSessionManager, API key auth middleware, CORS
  utils.py           # In-memory cache, rate limiter, safe_execute helper
  tools/
    sonarr_tools.py
    radarr_tools.py
    lidarr_tools.py
    prowlarr_tools.py
    readarr_tools.py   # Exists as config but no tool file yet — add src/tools/readarr_tools.py when needed
    seerr_tools.py
    tautulli_tools.py
    plex_tools.py
tests/               # pytest tests (conftest has env-var isolation + mock fixtures)

Build, Test, Lint Commands

Важно: Python не установлен на хост-машине. Все команды должны выполняться внутри Docker-контейнера.

# Install deps (editable) — inside container
docker compose exec mcp-arr-stack pip install -e ".[dev]"

# Run tests — inside container
docker compose exec mcp-arr-stack pytest tests/ -v
docker compose exec mcp-arr-stack pytest tests/ -v --cov=src --cov-report=term-missing

# Format — inside container
docker compose exec mcp-arr-stack black src/ tests/
docker compose exec mcp-arr-stack ruff check src/ tests/
docker compose exec mcp-arr-stack ruff check src/ tests/ --fix

Быстрый запуск тестов

# Все тесты
docker compose exec mcp-arr-stack pytest tests/ -v

# Один файл
docker compose exec mcp-arr-stack pytest tests/test_sonarr_tools.py -v

# С покрытием
docker compose exec mcp-arr-stack pytest tests/ -v --cov=src --cov-report=term-missing

# Только упавшие (last failures)
docker compose exec mcp-arr-stack pytest tests/ -v --lf

Read the full file on GitHub · 287 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. yesterday First seen · 287 lines · 3,594 tokens per session scan A 1fb4c72bc442

Subscribe to this mod's changes

mcp-arrstack AGENTS.md is an instructions file published in the GitHub repository indlns/mcp-arrstack (0 stars, last pushed 1mo ago), licensed MIT. It adds 3,594 tokens to every session, about $0.0180 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.

Related

Other instructions, from other repositories

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,345 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

next.js AGENTS.md

Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens