Skip to main content
Glama

Related Servers

Alternatives to SayMaker MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes over 70 generation and editing tools for images, video, audio, PDFs, and 3D assets to any MCP-compatible client, with async job polling, saved-media libraries, and credit tracking. Users can produce product shots, voiceovers, subtitles, and more without leaving their chat client.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI image and video generation using Dreamshot's API, supporting tools like image editing, video creation, and enhancement directly from MCP-compatible clients.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Image tools for coding agents: generate from text, edit one reference image, remove backgrounds, upscale 2x, and create reference-based sprite animations. The MCP server, CLI and REST API share one key, credit balance and request history. Needs a DreamLayer API key and paid credits; sprite sheets are beta.
      7
      277 npm
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      Enables image generation and multi-turn editing sessions using the Gemini API within MCP-compatible environments. Users can create, modify, and configure images through natural language commands, supporting features like aspect ratio adjustments and session-based image transformations.
      5
      -

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues