# WebsiteScreenshot.online MCP Server

> WebsiteScreenshot.online MCP Server — website-screenshot-online-websitescreenshot-mcp. Use this tool when you need to capture visual representations of web pages or record interactions for analysis, testing, or documentation purposes. It solves problems related to website visualization, testing, and monitoring by providing screenshot and video recording capabilities. The tool accepts website URLs as input and outputs screenshots and videos, making it ideal for use cases requiring visual verification or demonstration of web page content.

Canonical page: https://skillsregistry.net/skills/website-screenshot-online-websitescreenshot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/website-screenshot-online-websitescreenshot-mcp

## Description

Enables AI assistants to capture website screenshots and record videos of web pages by providing tools for taking screenshots, recording videos, and checking video status.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nc39lf9501)
- **Repository:** <https://github.com/Website-Screenshot-Online/websitescreenshot-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": "website-screenshot-online-websitescreenshot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/website-screenshot-online-websitescreenshot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/website-screenshot-online-websitescreenshot-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