Overseerr MCP
Media discovery, requests and management via Overseerr and Seerr for Plex, Jellyfin and Emby.
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- 🚀 99% fewer API calls for batch operations (150-300 → 1)
- ⚡ 88% token reduction with compact response formats
- 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation
- 🔄 Smart Caching - 70-85% API call reduction
- 🛡️ Safety Features - Multi-season confirmation, validation
- 📦 6 Tools - Search, request, and manage media | Discover Radarr/Sonarr server configurations
التثبيت
خطوات التثبيت موجودة في التوثيق أدناه. التوثيق
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
المحتويات
Seerr MCP Server
A Model Context Protocol (MCP) server for Overseerr and Seerr (the unified successor) that enables AI assistants to search, request, and manage media through the Model Context Protocol.
🎯 Key Features
- 🚀 99% fewer API calls for batch operations (150-300 → 1)
- ⚡ 88% token reduction with compact response formats
- 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation
- 🔄 Smart Caching - 70-85% API call reduction
- 🛡️ Safety Features - Multi-season confirmation, validation
- 📦 6 Tools - Search, request, and manage media | Discover Radarr/Sonarr server configurations
🔒 Security
- 🤖 Automated Security Scanning
- Dependabot for dependency updates (weekly)
- CodeQL for code vulnerability analysis (PR + weekly)
- Trivy for Docker image scanning (CI only - blocks PRs if vulnerabilities found)
- CI validates everything during PR review, CD trusts CI and publishes
- 🐳 Hardened Docker Images
- Non-root user (mcpuser)
- Multi-stage builds
- Minimal Alpine base
- dumb-init process management
- ✅ Input Validation
- URL and API key format validation
- Fails fast with clear error messages
🛠️ Available Tools
| Tool | Purpose | Key Features |
|---|---|---|
| search_media | Search & dedupe | Single/batch search, dedupe mode for 50-100 titles, franchise awareness |
| request_media | Request movies/TV | Batch requests, season validation, multi-season confirmation, dry-run mode |
| manage_media_requests | Manage requests | List/approve/decline/delete, filtering, summary statistics |
| get_media_details | Get media info | Batch lookup, flexible detail levels (basic/standard/full) |
| get_services | List Radarr/Sonarr servers | Discover server IDs, active defaults, 4K status |
| get_service_details | Get server config | Quality profiles, root folders, tags per server |
📋 Prerequisites
- Node.js 18.0 or higher
- Seerr or Overseerr instance (self-hosted or managed)
- Seerr/Overseerr API key (Settings → General in your instance)
🚀 Quick Start
Option 1: NPM (Recommended)
npm install -g @jhomen368/overseerr-mcp
Configure with Claude Desktop:
Add to your configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"seerr": {
"command": "npx",
"args": ["-y", "@jhomen368/overseerr-mcp"],
"env": {
"SEERR_URL": "https://seerr.example.com",
"SEERR_API_KEY": "your-api-key-here"
}
}
}
}
Legacy Overseerr Users: If you're still using Overseerr (not Seerr), you can continue using the legacy variables:
{ "env": { "OVERSEERR_URL": "https://overseerr.example.com", "OVERSEERR_API_KEY": "your-api-key-here" } }Both
OVERSEERR_*andSEERR_*variables are supported for backward compatibility. Legacy variables will be removed in v3.0.0.
Option 2: Docker (Remote Access)
docker run -d \
--name seerr-mcp \
-p 8085:8085 \
-e SEERR_URL=https://your-seerr-instance.com \
-e SEERR_API_KEY=your-api-key-here \
ghcr.io/jhomen368/overseerr-mcp:latest
Docker Compose:
services:
seerr-mcp:
image: ghcr.io/jhomen368/overseerr-mcp:latest
container_name: seerr-mcp
ports:
- "8085:8085"
environment:
- SEERR_URL=https://your-seerr-instance.com
- SEERR_API_KEY=your-api-key-here
restart: unless-stopped
Test the server:
curl http://localhost:8085/health
Connect MCP clients:
- Transport: Streamable HTTP
- URL:
http://localhost:8085/mcp
Option 3: From Source
git clone https://github.com/jhomen368/overseerr-mcp.git
cd overseerr-mcp
npm install
npm run build
node build/index.js
💡 Usage Examples
Batch Dedupe Workflow (Perfect for Anime Seasons)
// Check 50-100 titles in ONE API call
search_media({
dedupeMode: true,
titles: [
"Frieren: Beyond Journey's End",
"My Hero Academia Season 7",
"Demon Slayer Season 4",
// ... 47 more titles
],
autoNormalize: true // Strips "Season N", "Part N", etc.
})
Response:
{
"summary": {
"total": 50,
"pass": 35,
"blocked": 15,
"passRate": "70%"
},
"results": [
{ "title": "Frieren", "status": "pass", "id": 209867 },
{ "title": "My Hero Academia S7", "status": "pass", "franchiseInfo": "S1-S6 in library" },
{ "title": "Demon Slayer S4", "status": "blocked", "reason": "Already requested" }
]
}
Request Media with Validation
// Single movie request
request_media({
mediaType: "movie",
mediaId: 438631
})
// TV show with specific seasons
request_media({
mediaType: "tv",
mediaId: 82856,
seasons: [1, 2]
})
// All seasons (excludes season 0 by default)
request_media({
mediaType: "tv",
mediaId: 82856,
seasons: "all"
})
Manage Requests
// List with filters
manage_media_requests({
action: "list",
filter: "pending",
take: 20
})
// Batch approve
manage_media_requests({
action: "approve",
requestIds: [123, 124, 125]
})
// Get summary statistics
manage_media_requests({
action: "list",
summary: true
})
Service Discovery
// List all configured servers (Radarr + Sonarr)
get_services({})
// List only Radarr servers
get_services({ serviceType: "radarr" })
// Get quality profiles, root folders, and tags for a server
get_service_details({
serviceType: "radarr",
serverId: 0
})
// Use discovered values when requesting media
request_media({
mediaType: "movie",
mediaId: 438631,
serverId: 0,
profileId: 13,
rootFolder: "/data/media/movies"
})
Natural Language Examples
Simply ask your AI assistant:
- "Search for Inception in Seerr"
- "Check if these 50 anime titles have been requested"
- "Request Breaking Bad all seasons"
- "Show me all pending media requests"
- "Approve request ID 123"
- "Get details for TMDB ID 550"
- "What Radarr servers are configured?"
- "Show me the quality profiles for my Sonarr server"
⚙️ Configuration
Environment Variables
Required:
SEERR_URL- Your Seerr/Overseerr instance URLSEERR_API_KEY- API key from Settings → General
Legacy (deprecated, will be removed in v3.0.0):
OVERSEERR_URL- UseSEERR_URLinsteadOVERSEERR_API_KEY- UseSEERR_API_KEYinstead
Optional (with defaults):
CACHE_ENABLED=true # Enable caching
CACHE_SEARCH_TTL=300000 # Search cache: 5 min
CACHE_MEDIA_TTL=1800000 # Media cache: 30 min
CACHE_REQUESTS_TTL=60000 # Request cache: 1 min
CACHE_MAX_SIZE=1000 # Max cache entries
CACHE_SERVICES_TTL=600000 # Services cache: 10 min
CACHE_SERVICEDETAILS_TTL=600000 # Service details cache: 10 min
REQUIRE_MULTI_SEASON_CONFIRM=true # Confirm >24 episodes
HTTP_MODE=false # Enable HTTP transport
PORT=8085 # HTTP server port
📚 Documentation
- CHANGELOG.md - Version history and release notes
- CONTRIBUTING.md - Contribution guidelines
- Overseerr API Docs - Official API reference
🔧 Troubleshooting
Connection Issues
- Verify Seerr/Overseerr URL is accessible
- Check API key validity (Settings → General)
- Review firewall rules for remote access
Docker Issues
# Check logs
docker logs seerr-mcp
# Verify health
curl http://localhost:8085/health
# Restart container
docker restart seerr-mcp
Build Issues
# Ensure Node.js 18+
node --version
# Clean rebuild
rm -rf node_modules build
npm install
npm run build
🤝 Contributing
Contributions welcome! Please see CONTRIBUTING.md for guidelines.
📄 License
MIT License - see LICENSE for details
🙏 Acknowledgments
- Seerr - Next-generation media request and discovery tool
- Overseerr - Original media request tool for Plex
- Model Context Protocol - Open protocol for AI integrations
- Anthropic - Creators of the MCP standard
Support this project:
الأسئلة الشائعة
ما هو Overseerr MCP؟
Media discovery, requests and management via Overseerr and Seerr for Plex, Jellyfin and Emby.
كيف أثبّت Overseerr MCP؟
اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.
هل Overseerr MCP مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون Overseerr MCP؟
ينشره jhomen368. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.