glm-vision-mcp
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | 调用智谱 GLM-4.6V-Flash 分析一张或多张图片。 适用：图片描述、OCR 文字提取、表格/图表解析、UI 截图理解、多图对比等。 Args: images: 图片列表，每项是本地文件路径、http(s):// URL 或 base64 data URI。 prompt: 对图片的提问或分析指令，如 “提取图中所有文字，保留排版顺序”。 temperature: 采样温度 0.0~1.0，越小越确定，默认 0.7。 max_tokens: 最大输出 token 数，默认 2048。 thinking: 是否开启深度思考（返回附带思考过程），默认 False。 Returns: dict，含 model / content（/ reasoning / elapsed_ms）字段；失败抛异常。 |
| check_configA | 检查 MCP 配置是否就绪（不泄露 Key 本体）。 |
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 2 tools
The two tools are completely distinct: analyze_image handles all image analysis tasks while check_config verifies setup. There is zero overlap or ambiguity in their purposes.
Both tools follow the consistent verb_noun snake_case convention—analyze_image and check_config. The pattern is clean and predictable, matching the higher-scoring examples.
With only 2 tools in a server, the count falls into the 'feels thin' category. While the core vision analysis capability is covered by a single tool, the overall server feels minimal and could reasonably be expected to have a few more supporting tools to feel substantial.
The single analysis tool fully covers the core domain of image description, OCR, and chart parsing—no obvious dead ends for standard usage. The config check provides useful operational support. Minor gaps like batch processing or model inquiry are absent but not critical for the stated scope.