viraldar
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- AlicenseNot gradedqualityDmaintenanceReplicate viral TikTok slideshows in your niche by talking to your agent. It generates images locally or via API and assembles the final result.1MIT
- AlicenseBqualityCmaintenanceEnables AI coding agents to programmatically assemble vertical videos and manage local CapCut Desktop drafts, including AI background removal, audio mastering to -14 LUFS or Demucs vocal isolation, music auto-ducking, punch zooms, karaoke captions, PiP proof overlays, hook badges, safe-zone linting, proxy previews, and EN→ES cloning/dubbing. It outputs real CapCut draft JSON ready for review and export.172MIT

clipsdk-mcpofficial
AlicenseNot gradedqualityCmaintenanceEnables coding agents to turn long videos into captioned short clips, upload local or linked media, monitor jobs, and save finished MP4s with titles, scores, and ready-to-post captions to disk.MIT- AlicenseNot gradedqualityAmaintenanceOpen-source video pipeline (clipper, AI video & more) with a local MCP server: scout trends, download and transcribe videos, cut clips, build captioned shorts and run editing tools from your agent. Runs in the ViralMint desktop app on 127.0.0.1 with a bearer token; AGPL-3.0, bring your own API keys.196AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to edit video locally through FFmpeg: probing media, validating and previewing JSON edit projects, rendering short-form clips with captions, reframing, transitions and ducked music. Also analyses existing videos and applies or saves reusable format templates, without cloud services or API keys.1Apache 2.0
- AlicenseAqualityBmaintenanceEnables AI agents to perform deterministic FFmpeg video edits—silence removal, vertical reframing, 3D LUT grading, and metadata/audio extraction—and generate native CapCut Desktop drafts, with a local web studio for previewing and batch processing.51MIT
TDQS
Scored across 25 tools
Most tools target clearly distinct actions (auth, search, curation, carousel rendering, video montage), and the carrousel_*/montage_* groupings are self-explanatory. The main overlap risk is in the retrieval cluster — chercher_posts, petits_comptes_viraux, formats_similaires and post all return posts — but descriptions differentiate them by scope and quota cost. Minor confusion also possible between trier_post, noter_post and a_reproduire, though the descriptions separate 'classify', 'annotate' and 'list kept posts'.
Two coherent prefix families (carrousel_*, montage_*) coexist with verb_noun names (chercher_posts, modifier_mes_themes, trier_post) and bare noun names (connexion, deconnexion, mes_themes, infos_base, ma_fiche, methode, post). The mix is readable and loosely French-consistent, but there is no single predictable verb_noun pattern across the whole set.
At 25 tools this sits right at the heavy end of the scale, which is defensible given the breadth of the domain (search, curation, carousel generation, video assembly). Still, several tools are thin wrappers (montage_decouper vs montage_format_tiktok with debut/fin) and the surface could likely be consolidated.
The lifecycle is well covered end to end: connection/identity, theme discovery and editing, search and scoring, keep/skip/annotate, then carousel preview/render and full montage pipeline (probe, crop, cut, assemble, slideshow, text overlay). Gaps are minor — e.g. no bulk management of kept posts or export of a finished asset beyond file paths — and an agent can work around them.