deepseek-vision-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEEPSEEK_API_KEY | Yes | DeepSeek API key (required for the server to function). | |
| DEEPSEEK_BASE_URL | No | OpenAI-compatible API base URL; can point to a proxy. | https://api.deepseek.com |
| DEEPSEEK_VISION_MODEL | No | The vision model name to use; adjust according to available models. | deepseek-v4-flash |
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 |
|---|---|
| analyze_imageA | 使用视觉大模型（默认 deepseek-v4-flash）分析图片内容。当你（当前模型）本身不具备视觉能力、或需要理解图片/截图/图表/照片的内容、做 OCR 文字识别、对比多张图片时，必须调用本工具。images 为图片的本地绝对路径（如 C:\xx\screenshot.png）或 http(s) URL 数组（1~4 张，每张不超过 20MB，支持 png/jpg/jpeg/webp/gif）；question 为需要视觉模型回答的问题。返回视觉模型的文字回答。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusion between tools. The tool's description clearly states its purpose and when it must be invoked, making its role unambiguous.
The single tool name 'analyze_image' follows a clear snake_case verb-noun convention, which is consistent and predictable. With only one tool, there are no mixed conventions to worry about.
The server is a focused single-purpose vision model wrapper, and one powerful parameterized tool covers all core needs (OCR, chart understanding, image comparison). This is slightly below the typical 3-15 range but reasonable for such a narrow domain.
The tool fully covers the apparent domain of vision-based image analysis: it accepts both local paths and URLs, handles up to 4 images, supports common formats, and takes a user-defined question. There are no obvious missing capabilities for a vision-inference server.