Vision MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VISION_MODEL | No | Model name | Qwen3-VL-32B |
| VISION_API_KEY | No | API key (optional for local models) | |
| VISION_BASE_URL | Yes | OpenAI-compatible chat completions endpoint | |
| VISION_MAX_TOKENS | No | Max response tokens | 4096 |
| VISION_TEMPERATURE | No | Sampling temperature | 0.7 |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageC | Analyze an image using a vision language model. Supports local file paths and URLs. |
| ocr_imageC | Extract text from an image using OCR. Supports plain text, Markdown, and JSON output formats. |
| compare_imagesA | Compare 2-4 images and describe differences/similarities. Supports local file paths and URLs. |
| analyze_videoB | Analyze video content using a vision language model. Requires a model with video support (e.g., Qwen3-VL). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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