inReels MCPofficial
A
licenseNot graded
qualityC
maintenanceEnables AI agents to generate video ads, UGC ads, static image ads, voiceovers, and faceless videos, with tools for quoting, model discovery, asset upload, and run status checks.
MIT
Vadyu MCP Server
by crawde
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TDQS
A3.7/5.0
Scored across 7 tools
Disambiguation3/5
The generate, status, quota, and feedback tools are clearly distinct. However, vadyu_list_recipes and vadyu_list_sequences_and_formats heavily overlap (both list recipes, audio moods, and related catalog metadata), and vadyu_list_videos overlaps with vadyu_get_video_status through status filtering, leaving real room for misselection.
Naming Consistency5/5
All seven tools use the same vadyu_verb_noun snake_case pattern (generate_video_ad, list_recipes, get_video_status, get_account_quota, etc.). No style deviations or mixed conventions.
Tool Count5/5
Seven tools is a well-scoped surface for a video-ad generation service: one generation entry point, discovery, status, listing, quota, and feedback. Each tool maps to a real workflow step without bloat.
Completeness4/5
The core lifecycle is covered: discover recipes/formats, generate, poll status, list past videos, and check credits. Minor gaps exist around canceling or retrying an in-flight render and explicit deletion/management of generated videos.
Maintenance
ActivityMaintained
ResponsivenessOutdated data