Skip to main content
Glama
KuaaMU

llm-vision-mcp

by KuaaMU
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to llm-vision-mcp

No user-submitted related servers found.

    Related Servers

    • Luma MCP

      marekozkan6535
      A
      license
      Not graded
      quality
      A
      maintenance
      Adds image understanding to AI coding clients that lack native vision, letting them analyze screenshots, error messages, UI layouts, and documents through a single unified tool. Routes requests across multiple vision LLM providers with automatic preprocessing, multi-crop handling for large or text-dense images, and retry logic.
      417 npm
      MIT

    • Luma MCP

      Dimitrism23023
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding assistants without native vision to analyze screenshots, errors, UI designs, and documents through a unified image understanding tool backed by multiple vision model providers. Supports local files, remote URLs, Data URIs, OCR, multi-crop processing, and stdio or HTTP deployment for shared access.
      417 npm
      MIT

    • Luma MCP

      mateuszpanagiotou0628
      A
      license
      Not graded
      quality
      A
      maintenance
      Grants image-understanding capabilities to AI coding assistants that lack native vision by routing screenshots, error messages, UI mockups and documents through a single unified analysis tool. Supports multiple vision model providers such as GLM, DeepSeek-OCR, Qwen-VL, Doubao and Hunyuan, with automatic multi-crop, compression and retry handling for text-dense images.
      417 npm
      MIT

    • Luma MCP

      Bryant927
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding assistants without native vision to analyze screenshots, error messages, UI layouts, and documents through a single image-understanding tool that routes requests to multiple vision LLM providers. It accepts local files, remote URLs, and Data URIs with automatic cropping, compression, and retry handling, and can run over stdio or as a shared HTTP instance.
      417 npm
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.7/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The single tool has a clear and distinct purpose: analyzing images.

    Naming Consistency5/5

    The tool name 'analyze_image' follows a clean verb_noun pattern. Since there is only one tool, naming consistency is perfect.

    Tool Count4/5

    The server has exactly one tool, which feels slightly thin but is reasonable for a highly focused vision analysis server. The tool is comprehensive, handling many tasks through parameters, so the count is not inadequate.

    Completeness5/5

    The tool covers a wide range of vision tasks including describe, OCR, UI, layout, and QA, with multiple input sources and output options. There are no obvious gaps for the stated purpose of enabling text-only agents to analyze images.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources