Jellyseerr

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Jellyseerr provides a Model Context Protocol (MCP) server that transforms Jellyseerr's powerful API into usable tools for Large Language Model (LLM) clients. This enables LLMs to interact seamlessly with your Jellyseerr instance, offering core functionalities like media search, request creation, and status checking. The server features clear, emoji-forward logging and structured console output, enhancing the developer and user experience when integrating LLM applications.

Características Principales

• 0 GitHub stars
• Offers both stdio and HTTP (SSE) transports with simple bearer token authentication
• Includes an async HTTP client with robust error handling and timeouts
• Exposes key Jellyseerr endpoints as MCP tools (e.g., search, request, get request status)
• Supports flexible configuration via environment variables, including `.env` files
• Provides colorful, structured logging via Rich with emoji indicators for clear output

Casos de Uso

• Integrate LLM clients with Jellyseerr to automate media search and request processes.
• Build custom applications that leverage Jellyseerr's API via a standardized MCP interface for LLMs.
• Allow conversational AI agents to check the status of media requests directly from Jellyseerr.