jellyseerr-mcp

aserper/jellyseerr-mcp

3.3

If you are the rightful owner of jellyseerr-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

The Jellyseerr MCP Server is a Model Context Protocol server that provides access to Jellyseerr API functionalities for LLM clients, featuring colorful logging and clear console output.

Tools
4
Resources
0
Prompts
0

Jellyseerr MCP Server

Jellyseerr MCP Server

Tests Supported Python versions GHCR

GitHub stars GitHub forks

An MCP (Model Context Protocol) server for Jellyseerr that exposes Jellyseerr API functionality as MCP tools usable by LLM clients. It includes colorful, emoji-forward logging and clear console output.

Features

  • Exposes key Jellyseerr endpoints as MCP tools (search, request, get request status, etc.)
  • Synchronous HTTP client with robust error handling and timeouts
  • Colorful, structured logging via Rich with emoji indicators
  • Configuration via environment variables (.env supported)
  • Non-blocking stdio server compatible with multi-mcp configurations

Requirements

  • Python 3.10+
  • Packages in requirements.txt

Setup

  1. Create and activate a virtualenv.
  2. pip install -r requirements.txt
  3. Copy .env.example to .env and set your values.
JELLYSEERR_URL=https://your-jellyseerr.example.com
JELLYSEERR_API_KEY=your_api_key_here
JELLYSEERR_TIMEOUT=15

Running the MCP server

python -m jellyseerr_mcp

You should see colorful logs indicating the server is ready on stdio. The server communicates via stdin/stdout, making it compatible with Claude Desktop and other MCP clients.

Docker

You can run the server using Docker by either pulling the pre-built image from the GitHub Container Registry (GHCR) or building it yourself.

Pull from GHCR

docker pull ghcr.io/aserper/jellyseerr-mcp:latest

Build Locally

docker build -t jellyseerr-mcp .

Run

# If you pulled from GHCR:
docker run --rm -it \
  -e JELLYSEERR_URL="https://your-jellyseerr.com" \
  -e JELLYSEERR_API_KEY="your_api_key" \
  ghcr.io/aserper/jellyseerr-mcp:latest

# If you built locally:
docker run --rm -it \
  -e JELLYSEERR_URL="https://your-jellyseerr.com" \
  -e JELLYSEERR_API_KEY="your_api_key" \
  jellyseerr-mcp

Multi-MCP Configuration

The server is designed to work seamlessly with multi-mcp configurations. Example mcp.json:

{
  "mcpServers": {
    "jellyseerr": {
      "command": "/path/to/.venv/bin/python",
      "args": ["-m", "jellyseerr_mcp"],
      "env": {
        "JELLYSEERR_URL": "https://your-jellyseerr.example.com",
        "JELLYSEERR_API_KEY": "your_api_key_here"
      }
    }
  }
}

Exposed tools (initial set)

  • search_media(query: str) — Search Jellyseerr for media by query.
  • request_media(media_id: int, media_type: str) — Create a media request.
  • get_request(request_id: int) — Fetch a request’s details/status.
  • ping() — Liveness check with server/transport info.

More tools can be added easily — see jellyseerr_mcp/server.py.