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Glama

Server Details

Generate images, video, music and voice from your CLI or AI agent. On-brand AI media toolkit.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
Distribea/distribea-mcp
GitHub Stars
1
Server Listing
distribea-mcp

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updates
    • Addedgenerate_with_model
    • Addedlist_models
  2. 10 tool updates
    • First observedblog_cover
    • First observedbrand_pack
    • First observedbring_alive
    • First observedcreate_reference
    • First observededit_image
    • First observedforget_project
    • First observedgenerate_image
    • First observedlist_projects
    • First observedpack_status
    • First observedsite_style

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TDQS

A3.9/5.0
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.