A
licenseNot graded
qualityD
maintenanceEnables AI image and video generation using Dreamshot's API, supporting tools like image editing, video creation, and enhancement directly from MCP-compatible clients.
MIT
SayMaker MCP
by hanshs474
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TDQS
A3.9/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a clearly distinct operation: generating an image, generating a video, editing an existing image, listing models, polling a task, and opening the web app. The only potential overlap is generate_video with an image_url versus edit_image, but the descriptions make the output modality and intent clear.
Naming Consistency5/5
All tool names follow a consistent lowercase verb_noun pattern: edit_image, list_models, generate_image, generate_video, get_task, open_in_saymaker. The naming is predictable and makes the action and target resource immediately understandable.
Tool Count5/5
Six tools is well-scoped for an image and video generation service. Each tool covers a necessary part of the workflow without redundant or filler operations.
Completeness4/5
The core lifecycle is covered: list available models, generate an image, edit an image, generate a video, poll for results, and continue in the browser. Minor gaps like an explicit cancel-task or credit-balance tool are absent, but agents can still complete the primary workflows.