Jellyseerr MCP Server

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

Related MCP server: Jira MCP Server

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.