Jellyseerr MCP Server

Jellyseerr MCP Server

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

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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.)
  • Async HTTP client with robust error handling and timeouts
  • Colorful, structured logging via Rich with emoji indicators
  • Configuration via environment variables (.env supported)

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

This server supports stdio (default) and optional HTTP transports.

Stdio (recommended for MCP clients):

python -m jellyseerr_mcp

You should see colorful logs indicating the server is ready over stdio.

HTTP (SSE) with Bearer token auth (for tools that prefer HTTP + OAuth-style auth):

FASTMCP_HOST=127.0.0.1 FASTMCP_PORT=8797 MCP_TRANSPORT=sse \
AUTH_ENABLED=true AUTH_ISSUER_URL=http://localhost:8797 \
AUTH_RESOURCE_SERVER_URL=http://localhost:8797 \
AUTH_BEARER_TOKENS=devtoken123 python -m jellyseerr_mcp

Then connect your MCP client to http://127.0.0.1:8797 and pass Authorization: Bearer devtoken123.

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.

Notes

  • The previous FastAPI stub has been replaced with a proper MCP server scaffold.
  • HTTP transport (SSE) is available with optional bearer token auth. Full OAuth 2.0 flows require an external issuer or a provider implementation — tell me your preferred OAuth provider and I’ll wire it in.
  • The bearer token authentication is a simple implementation and not a full OAuth 2.0 flow. It is suitable for local development or simple deployments until an external issuer is used.

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