glm-vision-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GLM_MODEL | No | Model name, e.g., glm-5v-turbo, glm-4.6v, glm-4.6v-flash. | glm-5v-turbo |
| ZAI_API_KEY | Yes | Z.AI API Key, required to access the GLM vision model. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| glm_5v_understandA | Analyze an image using GLM-5V-Turbo (Zhipu AI's multimodal vision model). Supports local image files and remote URLs. Excels at: UI screenshot→code, design mockup analysis, visual debugging, chart/document understanding. |
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
Only one tool exists, so there is no possibility of confusing it with other tools. The tool's purpose is clearly defined and unambiguous.
The single tool name follows a clear pattern: model identifier (glm_5v) plus action verb (understand). Since there are no other tools, naming consistency is trivially perfect.
With just one tool, the server feels minimal. While it serves a focused purpose, the count is on the low end of reasonable and could benefit from additional related capabilities.
For a vision-understanding server, the provided tool covers a broad range of tasks including UI analysis, chart understanding, and document processing. No obvious gaps exist for the stated domain.