mcp-see
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | No | OpenAI API key (required for OpenAI provider) | |
| ANTHROPIC_API_KEY | No | Anthropic API key (required for Claude provider) | |
| GOOGLE_CLOUD_PROJECT | No | GCP project ID for Vertex AI (required for Gemini provider) |
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 |
|---|---|
| describeB | Get an AI-generated description of an image. Supports multiple providers (Gemini, OpenAI, Claude). |
| detectA | Detect objects in an image and return bounding boxes. Uses Gemini for native bounding box support. Coordinates are normalized 0-1000 as [ymin, xmin, ymax, xmax]. |
| describe_regionA | Crop an image to a bounding box and describe that region in detail. Use this after detect() to zoom in on specific objects. |
| analyze_colorsA | Extract dominant colors from an image region using K-Means clustering in LAB color space. Returns colors sorted by frequency with human-readable names from color.pizza. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |