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.
npx agentmods add instructions/arr-mcps/sonarr-mcp/agents-mdgit clone --depth 1 https://github.com/arr-mcps/sonarr-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/arr-mcps/sonarr-mcp/agents-md)<a href="https://agentmods.dev/instructions/arr-mcps/sonarr-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/arr-mcps/sonarr-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01418 | $0.01418 |
| Opus 5 | $0.00709 | $0.00709 |
| Sonnet 5 | $0.00284 | $0.00284 |
| Haiku 4.5 | $0.00142 | $0.00142 |
Grade A, and why
sonarr-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.
This is a copy
88% identical to radarr-mcp AGENTS.md — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 — sonarr-mcp
MCP server exposing Sonarr's v3 REST API (OpenAPI 3.0.0) as tools so an LLM can read and manage a Sonarr instance: series, episodes, episode 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 223 endpoints individually; that blew the MCP context budget (~223 tools × ~250 tokens ≈ 56k tokens just for this one server) and has been retired.
Testing
- Offline suite:
make test(oruv run pytest) - Live integration (needs
SONARR_URL/SONARR_API_KEY):make test-integration- GET endpoints run against the live instance.
- POST/PUT/DELETE only run when
SONARR_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_REGISTRYinsonarr_mcp.pyis generated from the vendored spec attests/data/sonarr_openapi.json(pinned to Sonarr develop HEAD e7caf8fbaa8e7b9dff48ce26b476ebcad7fd7324). It lists every JSON-producing endpoint under/api/v3plusGET /ping.- Excluded on purpose:
/login,/logout,/ping(kept), static web routes, the.icscalendar feed, and binary/text endpoints (media covers, raw log files) —_reqJSON-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):
sonarr_<verb>_<resource>derived from path + method (e.g.sonarr_list_series,sonarr_add_series,sonarr_delete_series,sonarr_run_command). Overrides for flagship/action endpoints live in the authoring script.
Portmanteau registration — do not go back to one tool per endpoint
_GROUPSbuckets every_TOOL_REGISTRYname into one of 15 resource groups (sonarr_media_library,sonarr_queue,sonarr_config, ...).register_tools()registers exactly one MCP tool per group via_register_group, which wraps the group's endpoint functions in a singledispatch(operation, arguments)closure. The endpoint functions themselves are unchanged — they're plain callables looked up by name, not separately-registered tools.operationis typedLiteral[<the group's endpoint names>], so FastMCP/pydantic validates it against the real endpoint list beforedispatchever runs — an invalid operation never reaches the group tool's body.- Adding a new endpoint: add its entry to
_TOOL_REGISTRYas before, then add its name to exactly one group in_GROUPS.tests/test_tools.py::test_all_registry_names_groupedfails if you forget. - New resource area big enough to need its own group (rare): add a new
_GROUPSkey. 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.toolor an extramcp.add_toolcall outside_register_group, don't — every endpoint must be reachable only via its group'soperationenum. A 223-tool server (one per endpoint) previously cost ~56k tokens of system-prompt budget on every session start; the 15-tool grouped version costs roughly a tenth of that.
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.
- 4d ago First seen · 55 lines · 1,418 tokens per session scan A 6add57e62771
sonarr-mcp AGENTS.md is an instructions file published in the GitHub repository arr-mcps/sonarr-mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 1,418 tokens to every session, about $0.0071 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to radarr-mcp AGENTS.md, differing in 28 lines, and is treated as a copy.
Other instructions, from other repositories
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.
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).
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.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
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).