Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Read-only-by-default MCP server for diagnosing a self-hosted arr stack (Sonarr, Radarr & more).
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
ORACLARR_SONARR_URL, ORACLARR_SONARR_API_KEY, ORACLARR_RADARR_URL, ORACLARR_RADARR_API_KEY, ORACLARR_CONFIG비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"oraclarr": {
"command": "uvx",
"args": [
"oraclarr-mcp"
],
"env": {
"ORACLARR_SONARR_URL": "your-value",
"ORACLARR_SONARR_API_KEY": "your-value",
"ORACLARR_RADARR_URL": "your-value",
"ORACLARR_RADARR_API_KEY": "your-value",
"ORACLARR_CONFIG": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add oraclarr --env ORACLARR_SONARR_URL=your-value --env ORACLARR_SONARR_API_KEY=your-value --env ORACLARR_RADARR_URL=your-value --env ORACLARR_RADARR_API_KEY=your-value --env ORACLARR_CONFIG=your-value -- uvx oraclarr-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"oraclarr": {
"command": "uvx",
"args": [
"oraclarr-mcp"
],
"env": {
"ORACLARR_SONARR_URL": "your-value",
"ORACLARR_SONARR_API_KEY": "your-value",
"ORACLARR_RADARR_URL": "your-value",
"ORACLARR_RADARR_API_KEY": "your-value",
"ORACLARR_CONFIG": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"oraclarr": {
"type": "stdio",
"command": "uvx",
"args": [
"oraclarr-mcp"
],
"env": {
"ORACLARR_SONARR_URL": "your-value",
"ORACLARR_SONARR_API_KEY": "your-value",
"ORACLARR_RADARR_URL": "your-value",
"ORACLARR_RADARR_API_KEY": "your-value",
"ORACLARR_CONFIG": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
ORACLARR_SONARR_URL envORACLARR_RADARR_URL envORACLARR_CONFIG env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 bdog720 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: ORACLARR_SONARR_API_KEY, ORACLARR_RADARR_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.0.3)은 8일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, AvaHR
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Ask your media stack what's going on, in plain language.
A locally-run MCP server that lets an LLM client (Claude Code, Claude Desktop) diagnose a self-hosted *arr media stack. It only reads by default. Writes are opt-in and need a token.
Oraclarr gives a language model one place to answer the operational "why" questions that normally mean tabbing through six web UIs. It aggregates across your services and returns a single, structured answer without changing anything. One opt-in tool, start_job, can start a refresh, rescan, search or rename. See Writes.
Covered now: Sonarr, Radarr, Sportarr, Prowlarr, qBittorrent, Tdarr, Profilarr, Jellyfin, Cleanuparr, Netdata, TrueNAS and Docker, including multiple instances of the same type (a separate anime or 4K Sonarr/Radarr, say). Every tool fans out across all the instances you define and reports each one separately.
Once connected, you just ask. Oraclarr picks the right tool and answers:
| You ask… | Oraclarr runs | …and tells you |
|---|---|---|
| "Is anything in my stack down?" | stack_health | which services are unreachable, unhealthy, or low on disk, and for one that's down, its container's state and exit code |
| "Why hasn't the new episode of *X* downloaded yet?" | diagnose | whether *X* is in your library, sitting in the download queue, or still on the wanted list |
| "Why did a sub-only release get grabbed when I only allow English dubs?" | explain_decision | the release that was grabbed, its custom-format score, and the language formats that matched |
| "Why is Cleanuparr about to remove this download?" | get_queues + get_cleanup | the strikes against it and their type, whether it's marked for removal, and the rules that apply |
| "Is the box under I/O pressure, and how much RAM is actually free?" | get_host | CPU busy and iowait, I/O pressure, free and available memory, swap, ARC against its max, GPU heat and VRAM |
| "What errors has Sonarr logged today?" | get_containers | the matching log lines with timestamps, from the container's logs |
| "Is the Sonarr rename still running?" | get_jobs | running and queued commands with their progress and the shows they cover, plus any that failed |
Read-only by default, and outcome-oriented rather than one-per-endpoint, which keeps the model accurate. Only start_job writes, and only when you switch writes on:
| Tool | Answers |
|---|---|
stack_health | Is anything down / unhealthy / low on disk? |
get_queues | Unified active downloads (arr queue ↔ qBittorrent), stalls |
diagnose | Where is *X* in the pipeline / why isn't it here yet? |
explain_decision | Why was *X* grabbed or being upgraded? (profile, custom formats, grab history) |
get_quality_config | Quality profiles, custom formats, release profiles, Profilarr sync state |
get_history | Recent grabs / imports / failures |
get_wanted | What's missing / cutoff-unmet? |
search_media | Do I have *X*, what's its status? |
get_indexers | Which indexers are failing? |
get_transcodes | What's transcoding / stuck? |
get_upcoming | What's airing or releasing soon, and will it land? (up to 90 days) |
get_library | Jellyfin libraries, scan progress, tasks, playback and transcodes, recent additions, name search |
get_cleanup | Cleanuparr dry-run state, cleaner schedules, seeding and stall rules, strikes |
get_host | Host CPU/iowait, memory, swap, ARC, GPU, pools, datasets, disk temperatures, TrueNAS alerts |
get_containers | Docker containers: state, health, restart counts, exit codes, and a filtered log tail |
get_jobs | What the arrs and Jellyfin are running, queued, failed or scheduled |
start_job | Start a refresh, rescan, search or rename on one series or movie, or a Jellyfin scan (opt-in, two-step) |
Two ways to run it. Pick one:
docker compose.Either way, every setting is an environment variable that starts with ORACLARR_. With Docker that means one .env file next to the compose file, and Dockge and Portainer show both in their editors. Start from .env.example. Configuration lists every variable. Your .env is never committed.
Oraclarr runs as a long-running container that serves MCP over HTTP at http:// :7979/mcp. You need two files in one folder: docker-compose.yml and .env.
Using a stack manager (Dockge, Portainer, etc.): create a new stack, paste the compose below into the editor, and paste your settings into the stack's .env. Hit deploy. Portainer saves the variables from its web editor as stack.env, so in Portainer change the compose line to env_file: stack.env.
Using the command line:
cp docker-compose.example.yml docker-compose.yml
cp .env.example .env # then fill in your URLs and keys docker compose up -d
This is the whole compose file. You don't edit it when you add or remove a service; that happens in .env:
services:
oraclarr: image: ghcr.io/bdog720/oraclarr-mcp:latest container_name: oraclarr restart: unless-stopped ports:
Want container state and logs too (get_containers)? Use docker-compose.full.example.yml instead. It adds the read-only Docker socket proxy, the one sidecar that has to live in the same stack. Containers explains it.
Then connect your client: one command for Claude Code, a small JSON block for Claude Desktop, Cursor, Codex, VS Code, Gemini CLI or Windsurf.
Run Oraclarr directly, no Docker. Requires Python 3.12+ and uv.
The package is on PyPI as oraclarr-mcp. It speaks MCP over stdio, so your client starts the process and passes the settings in its env block:
"oraclarr": {
"command": "uvx", "args": ["oraclarr-mcp"], "env": { "ORACLARR_SONARR_URL": "http://192.168.1.10:8989", "ORACLARR_SONARR_API_KEY": "your-key", "ORACLARR_RADARR_URL": "http://192.168.1.10:7878", "ORACLARR_RADARR_API_KEY": "your-key" } }
From a clone (for development): put the same ORACLARR_* lines in a .env in the repo folder (it's read at startup), then:
uv sync
uv run python -m oraclarr_mcp
In a client config, use "command": "uv", "args": ["run", "python", "-m", "oraclarr_mcp"] and a "cwd" pointing at the repo.
Each service is an *instance* with a name you choose. Its settings are variables named ORACLARR_ _ , and an instance exists as soon as its _URL is set:
ORACLARR_SONARR_URL=http://192.168.1.10:8989
ORACLARR_SONARR_API_KEY=your-key
ORACLARR_SONARR_ANIME_TYPE=sonarr # a second Sonarr, named sonarr-anime ORACLARR_SONARR_ANIME_URL=http://192.168.1.10:8990 ORACLARR_SONARR_ANIME_API_KEY=your-key
ORACLARR_QBITTORRENT_URL=http://192.168.1.10:8080 ORACLARR_QBITTORRENT_USERNAME=admin ORACLARR_QBITTORRENT_PASSWORD=your-password
| Field | Needed for |
|---|---|
_URL | every instance |
_TYPE | only when the name isn't a service type. Types: sonarr, radarr, sportarr, prowlarr, qbittorrent, tdarr, profilarr, jellyfin, cleanuparr, netdata, truenas, docker |
_API_KEY | Sonarr, Radarr, Sportarr, Prowlarr, Profilarr, Jellyfin, Cleanuparr, TrueNAS |
_USERNAME, _PASSWORD | qBittorrent |
_ENABLED | optional; false switches an instance off without deleting its lines |
_VERIFY_TLS | optional; false accepts a self-signed certificate (TrueNAS) |
_ALLOW_WRITES | optional; true lets start_job act on this instance. See Writes |
Underscores in the name become dashes in the instance name, so SONARR_ANIME shows up as sonarr-anime. Blank values count as unset, so you can keep lines for services you don't run. A misspelled ORACLARR_ variable stops the container with a message that names it, instead of failing quietly later.
Jellyfin needs an API key (Dashboard → API Keys). Cleanuparr needs its account API key (Settings → Account → API Key). TrueNAS, Netdata and Docker each have a short setup guide, linked below.
Server settings are optional:
| Variable | Default | What it does |
|---|---|---|
ORACLARR_TOOLSETS | media,downloads,transcode,library,host,containers | Which groups of tools are offered |
ORACLARR_TOOL_BUDGET_SECONDS | 30 | Time limit per tool call; slow instances report status: "timeout" |
ORACLARR_MAX_OUTPUT_BYTES | 200000 | Safety net for oversized responses |
ORACLARR_TIMEOUT_SECONDS | 10 | Timeout for each request to a service |
ORACLARR_ALLOW_WRITES | false | Turns on start_job. Each instance also needs its own _ALLOW_WRITES=true |
ORACLARR_HTTP_TOKEN | unset | At least 24 characters. When set, every HTTP request needs Authorization: Bearer . Required to turn writes on over http |
Every tool call has a time budget. If an instance doesn't answer in time, it comes back as status: "timeout" and the other instances still return their data. List results carry only the useful fields and stop at each tool's limit; when there is more, truncated and total say so. API keys and passwords show up as *** in responses and log lines.
get_host.get_containers, and what it lets through.config.yaml instead of (or as well as) .env, and migrating off it.Oraclarr is built in phases. It is read-only by default, and write capability arrives behind explicit safety gates. The architecture (typed clients + outcome tools + config-selectable toolsets) is designed to extend to other self-hosted suites beyond *arr, too.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요