arr-stack-mcp
A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client through a curated tool layer for LLM consumption.
README
arr-stack-mcp
A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client (Claude Desktop, Claude Code, n8n, ibis-bot, custom agents) through a hand-curated tool layer written for LLM consumption.
What this gives an agent
28 curated tools split across four services:
| Service | Tools | Highlights |
|---|---|---|
| Sonarr | 8 | series search, TVDB lookup, queue, calendar, missing episodes, add/delete |
| Radarr | 8 | movie search, TMDB lookup, queue, calendar, missing, add/delete |
| Lidarr | 7 | artist + album search, MusicBrainz lookup, queue, add/delete |
| Jellyfin | 5 | library search, recent additions, now-playing sessions, library scan |
Every tool:
- Has a description written for an agent's decision-making, not for human docs.
- Pins its input and output with Pydantic v2, so the MCP catalogue carries strict JSON Schema.
- Returns a compact, self-describing envelope (
ok,query,count,total,items). - Translates upstream HTTP errors into structured
ToolErrorenvelopes with self-suggesting hints. - Destructive operations require a two-call confirm-token flow.
Quickstart
uvx (one-shot)
uvx arr-stack-mcp serve --transport stdio
Docker
docker run --rm -i \
-e SONARR_URL=http://host.docker.internal:8989 \
-e SONARR_API_KEY=$SONARR_API_KEY \
-e RADARR_URL=http://host.docker.internal:7878 \
-e RADARR_API_KEY=$RADARR_API_KEY \
-e LIDARR_URL=http://host.docker.internal:8686 \
-e LIDARR_API_KEY=$LIDARR_API_KEY \
-e JELLYFIN_URL=http://host.docker.internal:8096 \
-e JELLYFIN_API_KEY=$JELLYFIN_API_KEY \
ghcr.io/new-usemame/arr-stack-mcp:0.1.0
Local development (uv)
git clone https://github.com/new-usemame/arr-stack-mcp
cd arr-stack-mcp
uv sync
uv run arr-stack-mcp init # writes a starter arr-stack-mcp.yaml
uv run arr-stack-mcp serve # boots stdio MCP server
Claude Desktop config
Add to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%\Claude\claude_desktop_config.json on Windows:
{
"mcpServers": {
"arr-stack": {
"command": "uvx",
"args": ["arr-stack-mcp", "serve"],
"env": {
"SONARR_URL": "http://localhost:8989",
"SONARR_API_KEY": "...",
"RADARR_URL": "http://localhost:7878",
"RADARR_API_KEY": "...",
"LIDARR_URL": "http://localhost:8686",
"LIDARR_API_KEY": "...",
"JELLYFIN_URL": "http://localhost:8096",
"JELLYFIN_API_KEY": "..."
}
}
}
}
Config reference
arr-stack-mcp init writes a starter arr-stack-mcp.yaml. Every secret can also be supplied via env var. Inline expansion of ${VAR} and ${VAR:-default} is supported.
log_level: info
transport:
stdio: true
http_enabled: false
http_host: 127.0.0.1
http_port: 8080
policy:
read_only: false
disable_destructive: false
confirm_token_ttl_seconds: 300
services:
sonarr:
enabled: true
url: http://localhost:8989
api_key: ${SONARR_API_KEY}
verify_tls: true
timeout_seconds: 30
radarr:
enabled: true
url: http://localhost:7878
api_key: ${RADARR_API_KEY}
lidarr:
enabled: true
url: http://localhost:8686
api_key: ${LIDARR_API_KEY}
jellyfin:
enabled: true
url: http://localhost:8096
api_key: ${JELLYFIN_API_KEY}
default_user_id: 4f8b6d2e-3a9c-4f1d-9c2a-1b3c5d7e9f01
Runtime flags
| Flag | Env | Effect |
|---|---|---|
--read-only |
ARRSTACK_READ_ONLY=true |
Skip every tool tagged write or destructive at registration. |
--disable-destructive |
ARRSTACK_DISABLE_DESTRUCTIVE=true |
Skip only the destructive tools (deletes). |
--dry-run |
— | Plan-and-record mode (v0.2). Write/destructive tools short-circuit before the upstream mutation and log the intended payload to a ring buffer surfaced by stack.dryrun_log. Reads run normally. |
--transport stdio |
— | Default. Use for Claude Desktop and Claude Code. |
--transport streamable-http |
— | HTTP transport for n8n / remote consumers. |
--bearer-token-env ARR_STACK_MCP_BEARER_TOKEN |
(env name) | Env var the server reads the bearer token from. Streamable-HTTP on a non-loopback bind refuses to start when this env var is unset. |
--config path/to/config.yaml |
— | Override config path. Defaults to ./arr-stack-mcp.yaml, then XDG. |
Confirm-token persistence (v0.2)
Confirm tokens default to in-memory storage. Set policy.state_db_path in the config to persist tokens across server restarts and across streamable-HTTP request lifetimes:
policy:
state_db_path: ~/.local/state/arr-stack-mcp/state.db
The path is created idempotently. SQLite WAL mode lets multiple worker processes share the same DB safely.
Hourly per-tool call cap (v0.2)
Opt-in runaway-agent protection. Tools without an entry are uncapped:
policy:
hourly_caps:
sonarr.series_add: 50
radarr.movie_add: 50
sonarr.series_delete: 10
Per-process, per-tool, rolling-hour. Failed upstream calls still consume budget so a runaway loop hits the cap on the Nth attempt.
Capability matrix
Tools follow the <service>.<verb_object> convention. Tags drive flag-based gating.
Sonarr
| Tool | Tag | Use |
|---|---|---|
sonarr.system_status |
read | Version + branch + uptime. First call when diagnosing. |
sonarr.series_search |
read | Search the existing library (already-added). |
sonarr.series_lookup |
read | Search TVDB to discover series to add. |
sonarr.series_status |
read | Per-season breakdown (v0.2). Episode counts, files on disk, missing. |
sonarr.queue |
read | Active downloads with progress. |
sonarr.calendar |
read | Upcoming + recently-aired episodes. |
sonarr.missing |
read | Monitored episodes not on disk. |
sonarr.series_add |
write | Add a series by TVDB id. Idempotent. |
sonarr.series_delete |
destructive | Two-call confirm-token flow. |
Radarr
| Tool | Tag | Use |
|---|---|---|
radarr.system_status |
read | Mirrors Sonarr. |
radarr.movie_search |
read | Search the existing library. |
radarr.movie_lookup |
read | Search TMDB to discover movies to add. |
radarr.queue |
read | Active downloads. |
radarr.calendar |
read | Upcoming + recently-released movies. |
radarr.missing |
read | Monitored movies not on disk. |
radarr.movie_add |
write | Add a movie by TMDB id. Idempotent. |
radarr.movie_delete |
destructive | Two-call confirm-token flow. |
Lidarr
| Tool | Tag | Use |
|---|---|---|
lidarr.system_status |
read | — |
lidarr.artist_search |
read | Search the existing library. |
lidarr.artist_lookup |
read | Search MusicBrainz to discover artists. |
lidarr.artist_albums |
read | List albums under one artist. |
lidarr.queue |
read | Active downloads. |
lidarr.artist_add |
write | Add an artist by MusicBrainz id. Idempotent. |
lidarr.artist_delete |
destructive | Two-call confirm-token flow. |
Jellyfin
| Tool | Tag | Use |
|---|---|---|
jellyfin.system_info |
read | Version + server name. Public endpoint. |
jellyfin.library_search |
read | Search items by name. Pass user_id= for per-user scoping (v0.2). |
jellyfin.recent_additions |
read | Newest items by date_added. Pass user_id= for per-user scoping (v0.2). |
jellyfin.users_list |
read | Enumerate user accounts (v0.2). Returns user_id, name, admin flag, last login. |
jellyfin.now_playing |
read | Currently-active sessions with progress. |
jellyfin.scan_library |
write | Trigger a library refresh. |
Prowlarr (v0.2)
| Tool | Tag | Use |
|---|---|---|
prowlarr.system_status |
read | Version + branch. First call when diagnosing Prowlarr. |
prowlarr.health |
read | Health-check issues (warnings, errors, wiki links). |
prowlarr.indexer_list |
read | Configured indexers with implementation, protocol, priority, enable. |
prowlarr.indexer_stats |
read | Query / grab / failure counts per indexer + average response time. |
prowlarr.indexer_status |
read | Currently-failing indexers with retry-after timestamps. |
prowlarr.indexer_test_all |
write | Trigger the test-every-indexer probe; returns per-indexer pass/fail. |
prowlarr.search |
read | Search across configured indexers. Returns title, indexer, size, age, seeders. Does NOT download — use *.add on Sonarr / Radarr / Lidarr with catalog id. |
stack.* (v0.2, cross-service)
| Tool | Tag | Use |
|---|---|---|
stack.health |
read | Probe every enabled service's *.system_status in parallel. Returns reachability matrix + overall_ok. |
stack.dryrun_log |
read | Read the ring buffer of would-have-fired mutations recorded under --dry-run. |
stack.report_issue |
read | Compose a pre-filled GitHub issue URL the user can post upstream. Never auto-submits. |
stack.find_anywhere |
read | Fan a query across every enabled arr + Jellyfin library; merged result with source per row. |
stack.queue_status_all |
read | Aggregate download queue across Sonarr, Radarr, Lidarr. Normalized row shape. |
Confirm-token flow
Destructive tools (*_delete) implement a two-call confirm:
# Call 1: returns plan + token, no side effect
> sonarr.series_delete(sonarr_id=42, delete_files=False)
{
"ok": true,
"needs_confirm": true,
"confirm_token": "abc123",
"summary": "remove 'Foo Bar' (sonarr_id=42) from Sonarr; keep files on disk",
"expires_in_seconds": 300
}
# Call 2: executes
> sonarr.series_delete(sonarr_id=42, delete_files=False, confirm_token="abc123")
{
"ok": true,
"deleted_sonarr_id": 42,
"title": "Foo Bar",
"files_deleted": false,
"msg": "deleted sonarr_id=42"
}
Tokens are single-use, time-limited, and bound to the request payload — a token from one tool will not confirm another.
Architecture
Two layers:
┌────────────────────────────────────────────────────────────┐
│ Curated MCP tools (arr_stack_mcp.tools.<service>.tools) │
│ Hand-written, LLM-friendly names, descriptions, schemas. │
├────────────────────────────────────────────────────────────┤
│ Generated thin clients (arr_stack_mcp.generated.<svc>) │
│ openapi-python-client output. Do not hand-edit; regen │
│ via scripts/regen-clients.sh on upstream version bumps. │
├────────────────────────────────────────────────────────────┤
│ httpx + pydantic + structlog + mcp.server.fastmcp │
└────────────────────────────────────────────────────────────┘
See docs/ARCHITECTURE.md for the longer walk-through.
Development
uv sync # install runtime + dev deps
uv run pytest -q # fast unit tests
uv run ruff check src/ tests/ # lint
uv run mypy src/ tests/ # type check (strict)
uv run ruff format src/ tests/ # format
Integration tests require the docker test stack:
scripts/test-stack-up.sh # boots Sonarr/Radarr/Lidarr/Prowlarr/Jellyfin
uv run pytest -m integration # runs once stack is healthy
scripts/test-stack-down.sh --clean # teardown
Contributing
See CONTRIBUTING.md for the OpenAPI regeneration flow and the verification checklist that gates every release.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。