# MCP HydroCoder Vision

> Use this tool when you need to analyze images, extract text through OCR, or generate code from UI elements while maintaining data privacy. The MCP HydroCoder Vision tool solves problems related to visual processing and automation, providing outputs such as extracted text, image analysis results, and generated code. It is ideal for use cases where local, private processing is required, with inputs including images and UI elements, and outputs in the form of text, analysis results, and generated code.

Canonical page: https://skillsregistry.net/skills/hydrocoderclaud-mcp-hydrocoder-vision  
JSON: https://api.skillsregistry.net/v1/skills/hydrocoderclaud-mcp-hydrocoder-vision

## Description

A local vision-language MCP server that enables Claude Code to perform image analysis, OCR, and UI-to-code generation using the Qwen3 VL 4B model via LM Studio. It provides privacy-focused visual processing by running entirely on the user's local hardware without external API dependencies.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bigm48u15s)
- **Repository:** <https://github.com/hydroCoderClaud/mcp-hydrocoder-vision>

## 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": "hydrocoderclaud-mcp-hydrocoder-vision"
    }
  }
}
```

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