mcp-vision-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| IMAGE_MODEL | No | 生图模型，回退 VISION_MODEL | |
| VISION_MODEL | Yes | 默认视觉模型 | |
| VISION_API_KEY | Yes | 视觉 Key | |
| VISION_API_BASE_URL | Yes | 视觉 API 根地址 | |
| VISION_BACKUP_MODEL | No | ocr 备用视觉模型，回退 VISION_MODEL | |
| VISION_ANALYZE_MODEL | No | analyze 专用模型，回退 VISION_MODEL |
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
} |
| logging | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| vision_analyzeA | Understand, explain, or describe an image using a vision model. Use for interpreting screenshots, UI, diagrams, charts, or error messages that need reasoning. Not for verbatim text extraction (use vision_ocr). |
| vision_ocrA | Extract exact text from an image (OCR). Use when the user wants literal text copied verbatim from a screenshot, code image, terminal output, document, or receipt. Not for explaining or understanding images (use vision_analyze). |
| image_generateA | Generate one or more images from a text prompt through an OpenAI-compatible images/generations endpoint. Images are returned inline as base64 when available, otherwise as download URLs. |
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaoshengyvlin/MCP-Vision'
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