# SiliconFlow-Vision-MCP

> SiliconFlow-Vision-MCP — klx1204-siliconflow-vision-mcp. Use this tool when you need to automate visual analysis and diagnostics, such as converting UI screenshots to code or performing OCR and image/video analysis. The SiliconFlow-Vision-MCP server provides 8 vision tools with inputs including UI screenshots, images, and videos, and outputs diagnostic results, code, and analysis reports. It solves problems in UI development, testing, and data visualization, making it ideal for use cases where rapid visual analysis and automation are required.

Canonical page: https://skillsregistry.net/skills/klx1204-siliconflow-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/klx1204-siliconflow-vision-mcp

## Description

An MCP server that provides 8 vision tools for UI screenshot to code, OCR, error diagnosis, diagram understanding, data visualization analysis, UI diff, and image/video analysis, plus model list query, powered by SiliconFlow's multimodal API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/gztaijedx7)
- **Repository:** <https://github.com/klx1204/SiliconFlow-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": "klx1204-siliconflow-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/klx1204-siliconflow-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/klx1204-siliconflow-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