# ScreenshotOne

> Use this tool when you need to programmatically capture website screenshots for visual testing, content monitoring, or creating visual references. It provides a bridge to ScreenshotOne's API, enabling the rendering of website screenshots through the Model Context Protocol, and outputs images of web pages. It is ideal for AI assistants, web developers, and content creators working in Node.js environments who require automated website screenshot generation.

Canonical page: https://skillsregistry.net/skills/screenshotone  
JSON: https://api.skillsregistry.net/v1/skills/screenshotone

## Description

This MCP server implementation provides a bridge to ScreenshotOne's API, enabling the rendering of website screenshots through the Model Context Protocol. Developed by Dmytro Krasun, it offers a simple tool for capturing visual representations of web pages as images. The server is designed to work with Node.js environments and utilizes the @modelcontextprotocol/sdk for MCP compatibility. It's particularly useful for AI assistants, web developers, and content creators who need to programmatically generate website screenshots for tasks such as visual testing, content monitoring, or creating visual references of web pages without manual intervention.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/screenshotone)
- **Repository:** <https://github.com/screenshotone/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": "screenshotone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/screenshotone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/screenshotone/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
