Skip to main content
Glama
systemmin

image-mcp

by systemmin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to image-mcp

No user-submitted related servers found.

    Related Servers

    • vision-mcp

      menoxz
      A
      license
      Not graded
      quality
      C
      maintenance
      MCP server for analyzing images using multiple vision LLM providers (OpenCode, OpenAI, Anthropic, Google, and custom OpenAI-compatible endpoints). Provides tools to analyze single or multiple images, list providers, and test vision capabilities.
      MIT

    • Luma MCP

      JochenYang
      A
      license
      A
      quality
      A
      maintenance
      Multi-model vision understanding MCP server that provides unified image analysis for AI assistants without native vision, supporting models like GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, and more.
      1
      289 npm
      114
      MIT

    • vision-mcp

      sulghu
      A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.
      4 npm
      2
      MIT

    • llm-vision-mcp

      ghbalf
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.
      770 npm
      10
      MIT

    • llm-vision

      maple-red
      A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.
      2 npm
      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct task: multi-image analysis with custom prompt, single-image description, and single-image Q&A. No overlap in functionality.

    Naming Consistency5/5

    All tools follow consistent 'vision_<verb>' pattern with clear, descriptive verbs (analyze, describe, qa).

    Tool Count5/5

    Three tools is well-scoped for an image analysis server, covering the essential operations without bloat or insufficiency.

    Completeness4/5

    The set covers core image analysis tasks (description, QA, multi-image comparison). Missing potential features like image search or generation, but these are beyond the stated domain.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources