A
licenseNot graded
qualityD
maintenanceEnables image and video generation from text, image editing, and text-to-video workflows using AI models via OpenRouter and fal.ai.
MIT
kavel-mcp
by hanshs474
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TDQS
A3.7/5.0
Scored across 4 tools
Disambiguation4/5
Each tool targets a distinct step: discovering tools (list_kavel_tools), listing underlying AI models (list_kavel_models), generating a tuned prompt (build_kavel_prompt), and getting a generator URL (open_in_kavel). The tools-vs-models pair could momentarily confuse, but descriptions clearly separate effects/generators from models.
Naming Consistency4/5
Names follow a verb_kavel_noun snake_case pattern (list_kavel_tools, build_kavel_prompt, list_kavel_models) with only open_in_kavel deviating slightly with a preposition. Conventions are consistent and readable.
Tool Count4/5
Four tools is on the lean side but well-matched to a focused discovery-and-prompt-helper server. Each tool earns its place with no redundancy.
Completeness4/5
The surface covers the full workflow: discover a tool, inspect available models, build a tuned prompt, and open the generator page. Minor gaps exist (no way to save/track generations), but core flows have no dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues