MCP Visual Language
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
| Name | Description |
|---|---|
| auto_analyze_imageB | 自动获取并分析图片（支持文件路径、网络URL或剪贴板） |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as analyzing images from various sources, leaving no room for confusion or misselection.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'auto_analyze_image' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.
A single tool is generally too few for most server purposes, as it limits functionality and flexibility. While the tool itself might be useful, the server's scope appears thin, lacking complementary operations like image editing, filtering, or metadata extraction that would enhance coherence.
The server is severely incomplete for a visual language domain. It only provides analysis, missing essential operations such as image generation, transformation, annotation, or comparison. This gap will likely cause agent failures when broader image-related tasks are required.