# Microsoft-Paint-MCP-Server

> Microsoft-Paint-MCP-Server — miguelcespedes-microsoft-paint-mcp-server. Use this tool when you need to automate or programmatically interact with Microsoft Paint, leveraging a semantic interface to work with geometric shapes and visual primitives. It solves problems related to automating visual tasks, such as diagram creation and editing, by providing a mathematical drawing DSL and abstracting away screen coordinates. Ideal for use cases involving automated graphic design, technical drawing, or data visualization, with inputs including geometric shapes and outputs including edited images.

Canonical page: https://skillsregistry.net/skills/miguelcespedes-microsoft-paint-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/miguelcespedes-microsoft-paint-mcp-server

## Description

A semantic MCP interface for Microsoft Paint that lets AI work with geometry, diagrams and visual primitives instead of screen coordinates — powered by Windows UI Automation, Win32 input and a mathematical drawing DSL.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/miguelcespedes/Microsoft-Paint-MCP-Server)

## 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": "miguelcespedes-microsoft-paint-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miguelcespedes-microsoft-paint-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miguelcespedes-microsoft-paint-mcp-server/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
