StreamHub MCP
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to compose, stage, format, and concurrently syndicate long-form articles and short posts across 17+ platforms through a local desktop bridge, with human confirmation and credentials kept locally.2MIT
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- AlicenseAqualityFmaintenanceEnables management of multi-platform streaming through the Restream API, allowing control of streaming channels, stream settings, and access to analytics across platforms like YouTube, Twitch, and Facebook through natural language.912 npm1MIT

Upstream MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceEnables an AI assistant to run cloud live streaming end to end: starting and stopping broadcasts, reordering playback queues, searching and organizing the media library, planning stream schedules, and managing multistream destinations. It connects over a remote Streamable HTTP endpoint secured with OAuth or a personal access token, applying the same validation, ownership rules, and rate limits as the public REST API.1MIT
TDQS
Scored across 5 tools
The tools mostly target distinct actions: platform discovery, authentication, template retrieval, metadata preview, and live preparation. The only mild overlap is between preview_live_metadata and prepare_live, since both concern live broadcast metadata, but their descriptions make the preview-versus-apply distinction reasonably clear.
All names use snake_case with a leading verb, producing a predictable verb_noun structure. There are minor noun-form variations such as get_templates versus preview_live_metadata versus prepare_live, but the convention is still easy to follow.
Five tools is well-scoped for a focused streaming-configuration server, with each tool covering a distinct part of the workflow. The surface does not feel bloated or arbitrarily fragmented.
The surface covers platform listing, authentication, templates, preview, and preparation, but there are notable gaps: no tool publishes or starts a live broadcast, no tool updates editable templates, and there is no explicit way to fetch current live configuration. These gaps may force agents into dead ends for end-to-end streaming workflows.