katto-mcp
Related Servers
Alternatives to katto-mcp
- AlicenseAqualityBmaintenanceEnables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.31MIT
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables turning any video into scored, captioned, ready-to-post vertical clips directly from your MCP client, with capabilities to download finished MP4s, schedule posts, and discover trending content.14 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables autonomous shortform video editing by converting 16:9 footage to 9:16 with dynamic speaker tracking, smart reframing bounding boxes, audio silence pacing, and precise cut-list generation through MCP-compatible clients.8-
- AlicenseNot gradedqualityFmaintenanceCreates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.23 npm1,341MIT

AITuber MCP Serverofficial
AlicenseAqualityBmaintenanceCreate AI-powered videos from any MCP-compatible client. Generate videos with AI narration, visuals, and synced captions for short-form and long-form content.2190 npm5MIT- AlicenseNot gradedqualityBmaintenanceEnables creating and editing 9:16 video reels programmatically through MCP tool calls, with ffmpeg rendering, caption styling, and optional project presets.1MIT
- FlicenseNot gradedqualityDmaintenanceTurns long-form videos into short-form clips (TikTok/Reels) by reasoning over word-timestamped transcripts, with silence-aware rendering, STT-based validation, and optional reframing/captions.-
TDQS
Scored across 16 tools
Several tools have overlapping purposes: katto_get_account and katto_get_usage both return quota/plan details, and katto_get_job already includes clips while katto_get_clips exists as a separate convenience. This could cause an agent to select the wrong tool when a single resource is exposed through multiple endpoints.
Names mostly follow a consistent katto_verb_noun pattern, but there is a minor inconsistency: collection-returning tools use both 'list' (katto_list_jobs, katto_list_sources) and 'get' (katto_get_clips), and katto_get_account vs katto_get_usage are semantically close despite different names.
16 tools is slightly above the typical 3-15 range, but each tool maps to a clear API operation and the set does not feel bloated. The count is reasonable for a video-clipping service with listing, job management, rendering, and account endpoints.
The toolset covers the main lifecycle: create/list/get/cancel jobs, retrieve clips and transcripts, rerender/dub clips, poll rerenders, and check account/usage. There are minor redundancies rather than major gaps, though a dedicated single-clip fetch or rerender listing could be considered missing.