Skip to main content
Glama
WormAlien

opencode-openai-vision-mcp

by WormAlien
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

Related Servers

Alternatives to opencode-openai-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

    • multimodal-mcp

      believe3344
      F
      license
      A
      quality
      D
      maintenance
      Gives any MCP client (OpenCode, Claude Code, Claude Desktop, Cursor, etc.) the ability to process images by automatically converting them to text descriptions using a vision model, so that text-only LLMs can handle image-based queries.
      2
      -
    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

    A3.9/5.0

    Scored across 1 tool

    Disambiguation5/5

    Only one tool exists, so there is no possibility of confusion between tools.

    Naming Consistency3/5

    The single tool is named 'vision', which is a noun rather than a verb_noun pattern. While there is no inconsistency, the naming lacks a clear action-oriented convention.

    Tool Count3/5

    With only one tool, the server feels minimal. For a focused purpose like image analysis it may be acceptable, but it is on the low end of the scale.

    Completeness3/5

    The tool covers the stated purpose of analyzing images, but there are no additional capabilities like OCR or object detection, limiting completeness for broader vision tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources