radarr-mcp AGENTS.md

radarr-mcp AGENTS.md is an instructions file for Codex, OpenCode from arr-mcps/radarr-mcp. It costs 1,427 tokens per session, scanned A, original, MIT.

Development instructions for an MCP server that connects an AI coding agent to Radarr, a tool for managing movie libraries. They describe testing, available tools, the API specification, annotations, authentication, and base paths.

In plain words
What is it for?
Use them when developing or reviewing the Radarr MCP server, especially its tool registry and tests. Radarr API write tests require explicit permission and should use a non-production library.
Why use it?
They give contributors one place to follow the project's conventions and test changes safely. They also explain why the server groups many API actions into fewer tools.

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/arr-mcps/radarr-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/arr-mcps/radarr-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/arr-mcps/radarr-mcp/agents-md.svg)](https://agentmods.dev/instructions/arr-mcps/radarr-mcp/agents-md)
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<a href="https://agentmods.dev/instructions/arr-mcps/radarr-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/arr-mcps/radarr-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,427 This file is loaded in full into every session.
When invoked 1,427 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 $0.01427 $0.01427
Opus 5 $0.00714 $0.00714
Sonnet 5 $0.00285 $0.00285
Haiku 4.5 $0.00143 $0.00143

Measured 4d ago against content hash b5332910e767, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

radarr-mcp 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — radarr-mcp

MCP server exposing Radarr's v3 REST API (OpenAPI 3.0.4) as tools so an LLM can read and manage a Radarr instance: movies, movie files, queue, history, indexers, import lists, custom formats, tags, commands, system status, and more. Full surface — reads and writes. Uses FastMCP, uv for deps.

Exposed as 15 resource-scoped portmanteau tools, not one tool per endpoint — see "Tool registry and the spec" below. A prior version registered all 226 endpoints individually; that blew the MCP context budget (~226 tools × ~250 tokens ≈ 57k tokens just for this one server) and has been retired.

Testing

  • Offline suite: make test (or uv run pytest)
  • Live integration (needs RADARR_URL/RADARR_API_KEY): make test-integration
    • GET endpoints run against the live instance.
    • POST/PUT/DELETE only run when RADARR_WRITE_TESTS=1 (safe create→update→delete cycles against a scratch tag, then cleanup). Never point write tests at a production library.

Tool registry and the spec

  • _TOOL_REGISTRY in radarr_mcp.py is generated from the vendored spec at tests/data/radarr_openapi.json (pinned to Radarr develop HEAD c6fef4309de3ffdd5e0e9607ad30beb12d791333). It lists every JSON-producing endpoint under /api/v3 plus GET /ping.
  • Excluded on purpose: /login, /logout, /ping (kept), static web routes, the .ics calendar feed, and binary/text endpoints (media covers, raw log files) — _req JSON-decodes every response.
  • To add a tool or refresh coverage, regenerate the registry from a newer openapi.json (same algorithm as the authoring script) and re-run the tests. Do not hand-edit the registry.
  • Endpoint function naming (internal, no longer an MCP tool name): radarr_<verb>_<resource> derived from path + method (e.g. radarr_list_movie, radarr_add_movie, radarr_delete_movie, radarr_run_command). Overrides for flagship/action endpoints live in the authoring script.

Portmanteau registration — do not go back to one tool per endpoint

  • _GROUPS buckets every _TOOL_REGISTRY name into one of 15 resource groups (radarr_media_library, radarr_queue, radarr_config, ...). register_tools() registers exactly one MCP tool per group via _register_group, which wraps the group's endpoint functions in a single dispatch(operation, arguments) closure. The endpoint functions themselves are unchanged — they're plain callables looked up by name, not separately-registered tools.
  • operation is typed Literal[<the group's endpoint names>], so FastMCP/pydantic validates it against the real endpoint list before dispatch ever runs — an invalid operation never reaches the group tool's body.
  • Adding a new endpoint: add its entry to _TOOL_REGISTRY as before, then add its name to exactly one group in _GROUPS. tests/test_tools.py::test_all_registry_names_grouped fails if you forget.
  • New resource area big enough to need its own group (rare): add a new _GROUPS key. Keep the total group count at or under ~15 — that ceiling is the entire point of this pattern.
  • If you're tempted to add a per-endpoint @mcp.tool or an extra mcp.add_tool call outside _register_group, don't — every endpoint must be reachable only via its group's operation enum. A 226-tool server (one per endpoint) previously cost ~57k tokens of system-prompt budget on every session start; the 15-tool grouped version costs roughly a tenth of that.

Read the full file on GitHub · 55 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. 4d ago First seen · 55 lines · 1,427 tokens per session scan A b5332910e767

Subscribe to this mod's changes

radarr-mcp AGENTS.md is an instructions file published in the GitHub repository arr-mcps/radarr-mcp (0 stars, last pushed 9d ago), licensed MIT. It adds 1,427 tokens to every session, about $0.0071 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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