# shottr-mcp

> shottr-mcp — deepanshumishraa-shottr-mcp. Use this tool when you need to silently capture and annotate macOS windows, displays, or regions, and produce customized PNG images with features like programmable annotations, backgrounds, and effects. It solves problems related to automated screenshot capture and image processing, providing a flexible interface for inputting capture parameters and outputting annotated images. Ideal for use cases requiring automated image generation with precise control over image appearance and metadata.

Canonical page: https://skillsregistry.net/skills/deepanshumishraa-shottr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/deepanshumishraa-shottr-mcp

## Description

An Effect-native MCP server that lets local agents silently capture macOS windows, displays, and exact regions, then produce Shottr-style PNGs with programmable annotations, backgrounds, padding, rounded corners, and shadows.

## 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:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x6u9h0xiy2)
- **Repository:** <https://github.com/DeepanshuMishraa/shottr-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": "deepanshumishraa-shottr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepanshumishraa-shottr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepanshumishraa-shottr-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