A
license-
qualityC
maintenanceA local AI toolkit for generating brand-aware images and videos through Claude, with a typed prompt engine and support for multiple backends (Gemini, Imagen, fal.ai, etc.)
Last updated
2
MIT
distribea-mcp
Server Details
Generate images, video, music and voice from your CLI or AI agent. On-brand AI media toolkit.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Distribea/distribea-mcp
- GitHub Stars
- 1
- Server Listing
- distribea-mcp
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Tool Definition Quality
A3.9/5.0
Tool DescriptionsA
Average 4.2/5 across 12 of 12 tools scored. Lowest: 2.9/5.
Server CoherenceA
Disambiguation5/5
Each tool has a clear, distinct purpose. For example, blog_cover generates article covers, brand_pack creates brand assets, bring_alive suggests image placements, create_reference registers real photos, edit_image retouches, generate_image auto-creates images, generate_with_model allows manual model selection, list_models shows model options, list_projects shows saved projects, pack_status gives account info, forget_project resets project memory, and site_style sets art direction. No two tools overlap in functionality.
Naming Consistency4/5
Most tool names follow a verb_noun pattern (e.g., create_reference, generate_image, list_models), which is clear and predictable. However, a few deviate: blog_cover and brand_pack are noun_noun, bring_alive is verb_adverb, and generate_with_model is longer. The mix is minor but noticeable, making it slightly inconsistent.
Tool Count5/5
With 12 tools, the server is well-scoped for its purpose of brand-consistent image generation and asset management. Each tool addresses a specific need without redundancy, and the count is neither too few to be useful nor too many to be overwhelming.
Completeness4/5
The tool set covers the core workflow: style setup (site_style), image generation (generate_image, generate_with_model), editing (edit_image), reference management (create_reference), project management (list_projects, forget_project), and account status (pack_status). Minor gaps exist, such as lack of tools to delete projects or references, but these do not significantly hinder typical use.
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