A
licenseNot graded
qualityC
maintenanceEnables MCP clients such as Claude and Cursor to list available AI models, generate video, image, and text outputs, and check video job status through a single prepaid API key.
53 npm
MIT
EzUGC MCP Server
Officialby team-listnr
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TDQS
A3.5/5.0
Scored across 29 tools
Disambiguation3/5
Most tools map to distinct resources and actions, but the generation family overlaps heavily: generate_video, generate_ugc_video, generate_brand_video, generate_image_ad, generate_brand_image_ad, and run_skill all produce media and differ mainly in whether a brand is grounded or a skill template is applied. The detailed descriptions help, but an agent must read carefully to pick between generate_ugc_video and generate_brand_video, or between the plain and brand image-ad variants.
Naming Consistency4/5
Nearly all tools follow a consistent snake_case verb_noun pattern (list_brands, create_brand, get_job, generate_image_ad, pause_agent_schedule). The only real deviations are the single-word whoami and mildly inconsistent prefixes between generate_* and the brand-specific wrappers, which are still readable.
Tool Count3/5
29 tools exceeds the comfortable range, but the surface spans seven legitimate sub-domains (account/usage, brands, jobs, video, image, skills, and agent scheduling/channels), so the breadth is justified rather than padded. Still, it is heavy enough that several tools feel like convenience wrappers rather than distinct capabilities.
Completeness4/5
Core lifecycle coverage is strong: full CRUD-plus-run for skills, brand creation/get/asset listing/brand-book update, job listing/get, and model discovery before generation. Minor gaps exist—no delete_brand, no cancel/delete_job, no delete_agent_schedule or unlink_channel—but agents can work around these.
Maintenance
ActivityMaintained
ResponsivenessNo issues