Vision MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VLM_MODEL | No | Model name. | qwen2.5vl:3b |
| VLM_API_MODE | No | API format: ollama (native /api/chat, supports keep-alive) or openai (standard /v1/chat/completions, any OpenAI-compatible backend). | ollama |
| VLM_BASE_URL | No | Backend address. Defaults to http://localhost:11434 for ollama mode and http://localhost:11434/v1 for openai mode. Note: openai mode requires the /v1 suffix. | http://localhost:11434 |
| VLM_KEEP_ALIVE | No | Model residency in Ollama mode only. 0 unloads after each call, -1 keeps forever. | 30m |
| VLM_TIMEOUT_MS | No | Per-call timeout in milliseconds, covers cold-start model load. | 300000 |
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 |
|---|---|
| describe_imageA | 对一张或多张图片进行视觉理解(识图):可指定任意问题,如描述内容、识别物体、分析图表、理解截图等 |
| ocr_imageA | 提取一张或多张图片中的所有文字(OCR),按原始排版分行输出 |
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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