agent-vision-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VISION_API_KEY | Yes | API key for the OpenAI-compatible endpoint | |
| VISION_BASE_URL | No | OpenAI-compatible base URL | https://api.openai.com/v1 |
| VISION_CACHE_DIR | No | Cache directory (when enabled) | <tmp>/agent-vision-cache |
| VISION_MAX_TOKENS | No | Output token budget | 16384 |
| VISION_MODEL_NAME | No | The vision model, e.g. Qwen3.6-35B-A3B | gpt-4o |
| VISION_TIMEOUT_MS | No | Per-request client timeout | 300000 |
| VISION_MAX_RETRIES | No | Retries for empty / 5xx / 429 / network errors | 3 |
| VISION_CACHE_ENABLED | No | Optional disk response cache | false |
| VISION_MAX_IMAGE_SIZE | No | Max image bytes (20 MB) | 20971520 |
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_imageA | Analyze an image with a vision AI model, giving a non-vision main model the ability to "see" image content. Call this when the user sends an image, or when you need to understand an image (describe it, OCR text, identify UI elements, read charts, etc.). The image can be provided as a base64 data URL, an HTTP(S) link, or a local file path. |
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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