@wecandeo/mcp-videopack-v4
OfficialRelated Servers
Alternatives to @wecandeo/mcp-videopack-v4
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage videos on PlayVideo, including collections, videos, webhooks, embed settings, API keys, and account management.0MIT
- AlicenseAqualityDmaintenanceEnables programmatic video generation via the json2video API, supporting scene and element creation, status polling, and template management.538 npm26MIT
- AlicenseNot gradedqualityDmaintenanceProvides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.3MIT
- AlicenseAqualityAmaintenanceEnables AI agents to manage Vimeo video libraries through natural language, including bulk folder operations, transcripts, chapters, captions, showcases, tags, privacy, and embed presets.4322 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables video generation through ComfyUI workflows, providing tools to list workflows, create and manage video jobs, upload assets, and retrieve results.-

@vidalytics/mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables AI assistants to connect to Vidalytics video analytics and manage videos, stats, audience retention, CTAs, uploads, and more through natural language.20 npmMIT
TDQS
Scored across 29 tools
Each tool targets a distinct action and resource (upload, status, progress, captions, thumbnails, distribution, archive). Even similar tools like upload_video_status and upload_video_progress are clearly differentiated by their return values.
All tools follow the consistent pattern 'wecandeo_verb_noun' (e.g., wecandeo_upload_create_token, wecandeo_video_details). The only exception is 'ping', but it is a standard health check tool.
29 tools is above the typical well-scoped range but justified given the breadth of video management features (upload, encoding, captions, distribution, archive). A few tools could potentially be combined (e.g., status and progress) but overall the count is reasonable.
The toolset covers core workflows (upload, encode, distribute, metadata) but lacks delete operations for videos, captions, and thumbnails. This is a notable gap that could cause dead ends during agent-driven tasks.