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Glama
i-richardwang

Vision MCP

by i-richardwang
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_MODELYesModel name for vision tasks
OPENAI_API_KEYYesAPI key for authentication
OPENAI_API_BASEYesAPI base URL

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_imageA
A powerful LLM that can analyze and understand image content from files or URLs, follow your instruction.
Use this tool to analyze images by LLM.
Only support jpeg, png, webp formats. Other formats like pdf/gif/psd/svg and so on are not supported.

Args:
    prompt (str): The text prompt describing what you want to analyze or extract from the image.
    image_source (str): The source location of the image to analyze.
        Accepts:
        - HTTP/HTTPS URL: "https://example.com/image.jpg"
        - Local file path:
            - Relative path: "images/photo.png"
            - Absolute path: "/Users/username/Documents/image.jpg"
        IMPORTANT: If the file path starts with @ symbol, you MUST remove the @ prefix before passing to this function.
        For example:
            - If you see "@Documents/photo.jpg", use "Documents/photo.jpg"
            - If you see "@/Users/username/image.png", use "/Users/username/image.png"
        Supported formats: JPEG, PNG, WebP

Returns:
    Text content with the image analysis result.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool 'analyze_image' has a singular, clearly defined purpose of analyzing image content, making disambiguation perfect.

Naming Consistency5/5

A single tool inherently has consistent naming, as there are no other tools to compare it against. The name 'analyze_image' follows a clear verb_noun pattern, which would be consistent if more tools were added.

Tool Count2/5

A single tool for a 'Vision MCP' server feels thin and incomplete for the apparent scope of image analysis. While the tool is powerful, the domain likely requires more operations (e.g., image processing, comparison, or metadata extraction) to be well-scoped, making the count too low.

Completeness2/5

The tool surface is severely incomplete for a vision-related domain. It only provides analysis, with no support for other common operations like image generation, editing, filtering, or batch processing. This will cause agent failures when tasks require more than basic analysis.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources