Computer Vision MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENROUTER_MODEL | No | The OpenRouter model to use for image captioning | google/gemini-2.5-flash |
| OPENROUTER_API_KEY | Yes | Your OpenRouter API key (required for OpenRouter backend) |
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 |
|---|---|
| caption_imageD | – |
| alt_textD | – |
| dense_captionD | – |
| image_metadataD | – |
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 4 tools
Each tool has a clearly distinct purpose: alt_text generates descriptive text for accessibility, caption_image creates a general caption, dense_caption provides detailed region-specific captions, and image_metadata extracts technical data. There is no overlap in functionality, making tool selection unambiguous.
All tool names follow a consistent snake_case pattern with descriptive noun-based naming (alt_text, caption_image, dense_caption, image_metadata). The naming is uniform and predictable across all four tools.
With 4 tools, the count is reasonable for a computer vision server, covering key image analysis tasks. It is slightly lean but well-scoped, as each tool addresses a distinct aspect of image processing without redundancy.
The tools cover descriptive and metadata extraction tasks well, but there are notable gaps in core computer vision operations like object detection, image classification, or segmentation. The surface is incomplete for a full computer vision workflow, though the provided tools are coherent within their subset.