# huide-vision-mcp

> huide-vision-mcp — yanghuide13350-huide-vision-mcp. Use this tool when you need to analyze webpages, errors, and annotated screenshots in a text-only development environment. The huide-vision-mcp tool solves problems related to visual inspection and debugging by providing a single interface to integrate with clients like Claude Code and Pi. It accepts webpage and screenshot inputs and outputs analysis results, making it ideal for use cases involving remote development, testing, and deployment on Cloudflare Workers.

Canonical page: https://skillsregistry.net/skills/yanghuide13350-huide-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yanghuide13350-huide-vision-mcp

## Description

A remote MCP server on Cloudflare Workers that lets text-only development agents analyze webpage, error, and annotated screenshots via SenseNova 6.7 Flash-Lite through a single tool. It supports local dev, Cloudflare deployment, and integration with clients like Claude Code and Pi.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7xwc1y2bp)
- **Repository:** <https://github.com/yanghuide13350/huide-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": "yanghuide13350-huide-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yanghuide13350-huide-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yanghuide13350-huide-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