Skip to main content
Glama

Related Servers

Alternatives to @textile-designer-ai/mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Lets Claude Desktop, Claude Code, or any MCP client generate ad images and videos from chat, including batches from folders of local files, prompt lists, and pipelines. Sign-in uses an OAuth device flow with workspace-scoped, revocable tokens, and finished creatives can be saved back to your machine.
      16
      25 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Connects MCP clients such as Claude, Cursor, and VS Code to OpenCode's headless API so users can delegate coding work — asking questions, implementing features, monitoring background jobs, answering prompts and permission requests, and reviewing changes across multiple projects. Supports synchronous runs, asynchronous jobs with polling and recovery, multi-project directory scoping, and configurable server authentication and tool profiles.
      17,427 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible clients such as Claude Desktop and Cursor to generate images and videos, synthesize speech, clone voices, and design custom voices from descriptive prompts. It supports stdio, REST, and SSE transport modes with configurable API hosts, keys, and local or URL-based resource output.
      188 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables MCP-compatible coding agents to generate and edit images from text prompts or local files, returning both a saved file path and an inline image block. Supports up to four sequential images per call, model listing, and one-command setup across OMP, Codex, Claude Code, Cursor, and opencode.
      3
      0
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables any MCP client to search and submit tasks across 350+ multimodal image, video, audio, and 3D models, run ComfyUI workflows and AI apps, upload/download files, and chat with LLMs. It supports stdio MCP integration and optional scope trimming for image, video, or audio only.
      2
      MIT

    TDQS

    A3.6/5.0

    Scored across 39 tools

    Disambiguation3/5

    Several overlapping clusters exist—image enhancement (td_ready_to_print, td_super_scaler, td_anti_blur), design generation (td_design_generation, td_design_creation), layering (td_object_layering, td_colour_layering, td_channeling), and colour variant tools—so an agent could misselect. The detailed 'Best for' descriptions help mitigate confusion, but boundaries are not always crisp.

    Naming Consistency4/5

    Nearly all tools use snake_case, with a clear td_ prefix for design tools and no prefix for system/account tools. However, spelling is inconsistent between British 'colour' (td_colour_layering, td_colourways) and American 'color' (td_color_transfer, td_color_matching_*), and the naming mixes verb and noun styles.

    Tool Count2/5

    39 tools is well above the 3–15 range for a well-scoped server and exceeds the 25+ threshold for 'too many'. Although each tool represents a distinct design operation, the sheer breadth creates a heavy selection burden for an agent.

    Completeness4/5

    The surface covers a wide range of textile design workflows: generation, enhancement, colour manipulation, layering, separation, print prep, and spec boards, plus auth, job, and documentation tools. Minor gaps exist (e.g., no explicit job cancellation or job listing), but agents can work around these via job_status and other tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues