mcp-vision
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| INFINI_API_KEY | Yes | Required. Your Infini-AI API key |
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 |
|---|---|
| recognize_imageC | Recognize and describe an image using a multimodal model (Kimi K2.5). Returns a text description of the image content. |
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 with other tools. The tool's purpose is clearly defined.
The single tool uses a clear verb_noun pattern (recognize_image) with snake_case, which is consistent and readable. No inconsistency exists.
A single tool is too few for a server named 'mcp-vision,' which implies a broader scope. The tool count falls into the 'too few' category, limiting functionality.
The server only offers image description, lacking other common vision tasks (e.g., object detection, OCR). This is a significant gap for a general vision server.