vision-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | Yes | Your Groq API key from https://console.groq.com/keys |
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": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | Describe an image or answer a specific question about it. General-purpose vision tool for when no more specific tool applies. |
| extract_text_from_screenshotB | OCR a screenshot (code, terminal output, or a document) and return the text verbatim. |
| diagnose_error_screenshotA | Analyze a screenshot of an error message, stack trace, or crash dialog and suggest the cause and a fix. |
| understand_technical_diagramB | Read an architecture diagram, flowchart, UML, or ER diagram and explain its components and relationships. |
| analyze_data_visualizationB | Read a chart, graph, or dashboard screenshot and extract key values, trends, and insights. |
| describe_uiA | Describe a UI screenshot's layout, components, and style. Ask for code/markup to also get a JSX/HTML+CSS sketch. |
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 6 tools
Each tool targets a specific image understanding task (charts, general, UI, errors, OCR, diagrams) with no overlap, ensuring agents can easily select the right one.
All tools follow a consistent verb_noun pattern with clear, descriptive names like analyze_data_visualization and extract_text_from_screenshot, making the set predictable.
With 6 tools, the server is well-scoped for a general vision assistant, covering common image analysis needs without being bloated or sparse.
The tool set covers major vision tasks (description, OCR, diagrams, errors, UI, data viz), though advanced manipulation or more niche domains are absent. Minor gap.