Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
VISION_MODELYes支持图片输入的模型
VISION_API_KEYYesAPI Key
VISION_TIMEOUTNo调用超时秒数,默认 `120`120
VISION_BASE_URLYesProvider 地址

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_imageA

DO NOT CALL if you natively support vision and can access the supplied image directly. Call this MCP only when native vision is unavailable, the image source is inaccessible to your native vision capability, or the user explicitly requests this MCP or its configured provider.

Analyze one local image path, HTTP(S) image URL, or image data URL. This CLI-friendly single-image tool is the simplest entry point for mcporter and shell automation. Use understand_image for multiple images.

understand_imageA

DO NOT CALL if you natively support vision and can access the supplied image directly. Call this MCP only when native vision is unavailable, the image source is inaccessible to your native vision capability, or the user explicitly requests this MCP or its configured provider.

Understand one or more images for description, OCR, document extraction, UI inspection, chart reading, comparison, spatial reasoning, or code/error screenshot analysis. Inputs may be local paths, HTTP(S) URLs, or image data URLs. Built-in prompt modes and optional ASCII rendering are available.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
quickstartRequired configuration, source startup, Inspector, and tool selection.
configurationEnvironment variables, endpoint selection, and secret handling.
toolsTool selection, image inputs, prompt modes, and ASCII behavior.
mcporterConfigure, discover, and call this MCP with mcporter.
uvxRun from source, PyPI, or an unpublished Git repository.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/weekitmo/vision-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server