Jellyfin Viewer

This tool models and analyzes interactions with a Jellyfin server to support viewing and automation tasks. It helps developers, system admins, and automation engineers reason about how a Jellyfin viewer would discover libraries, access metadata, and negotiate streaming formats. The core value is to provide deterministic inputs, outputs, and behavior for library exploration, playback URL generation, and metadata retrieval, without invoking a front-end UI.\nConceptually, the tool uses a REST-based model: it connects to the server, authenticates with an access token, queries libraries and items, retrieves metadata, and computes a suitable stream URL. It normalizes responses into a consistent result object and identifies the best available streaming quality based on provided preferences and server capabilities. It outputs a structured set of results suitable for integration into automation pipelines or testing suites.\nWho benefits: developers integrating Jellyfin in custom clients, IT teams validating deployments, and QA teams verifying catalog quality. Unique value lies in its explicit handling of inputs, outputs, and edge cases, plus a reproducible approach to selecting stream URLs and metadata. Core features include connectivity validation, metadata parsing, quality negotiation, and robust error reporting. Typical use cases include automated health checks, integration testing, and compliant playback URL generation for scripted workflows.\nUse cases span library inventory checks, privacy-conscious streaming pipelines, and offline-ready previews. The tool emphasizes domain accuracy (REST API semantics, transcoding presets, and streaming behavior) and provides deterministic outputs that downstream tools can consume. It differentiates from generic API testers by focusing on Jellyfin-specific workflows, including library traversal, item metadata, and playback URL provisioning, all packaged into a machine-readable result set for automation.