# vision-mcp-ms

> vision-mcp-ms — gyl1111-vision-mcp-ms. Use this tool when you need to analyze images using text-only Large Language Models (LLMs) like DeepSeek, as it provides a cloud-based vision server with OpenAI-compatible APIs. This tool solves problems by enabling image analysis via a single API call, accepting URL or data URL inputs and automatically falling back to alternative models when needed. It is ideal for use cases where text-based LLMs require image understanding capabilities, such as image classification or object detection tasks.

Canonical page: https://skillsregistry.net/skills/gyl1111-vision-mcp-ms  
JSON: https://api.skillsregistry.net/v1/skills/gyl1111-vision-mcp-ms

## Description

A cloud vision MCP server that enables text-only LLMs like DeepSeek to analyze images via OpenAI-compatible APIs (e.g., SiliconFlow), offering a single analyze_image tool with support for URL/data URLs and automatic model fallback.

## 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/bmscs2fowx)
- **Repository:** <https://github.com/gyl1111/vision-mcp-ms>

## 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": "gyl1111-vision-mcp-ms"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gyl1111-vision-mcp-ms` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gyl1111-vision-mcp-ms/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