# deepseek-vision-mcp

> deepseek-vision-mcp — arieslee-deepseek-vision-mcp. Use this tool when you need to analyze images from various sources, such as local paths, URLs, or base64 data URIs, to extract descriptive information. The deepseek-vision-mcp tool utilizes Gemini vision models to provide detailed image analysis, solving problems like image classification and object detection. It accepts image inputs and returns descriptive outputs, making it ideal for applications requiring automated image understanding.

Canonical page: https://skillsregistry.net/skills/arieslee-deepseek-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arieslee-deepseek-vision-mcp

## Description

MCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nei607eujm)
- **Repository:** <https://github.com/arieslee/deepseek-vision-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "arieslee-deepseek-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arieslee-deepseek-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arieslee-deepseek-vision-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt