# MCP Browser Screenshot Server

> Use this tool when you need to capture accurate screenshots of web pages for testing, monitoring, or analysis, and automate browser sessions to simulate various devices and execute JavaScript. It solves problems related to web page validation, UI testing, and content verification, providing full-page and element-specific screenshots as output. Ideal for use cases requiring automated web testing and monitoring, with inputs including URL, device type, and JavaScript code.

Canonical page: https://skillsregistry.net/skills/seabassgonzalez-mcp-browser-screenshot  
JSON: https://api.skillsregistry.net/v1/skills/seabassgonzalez-mcp-browser-screenshot

## Description

Enables AI assistants to capture screenshots of web pages using automated browser sessions. Supports full-page and element-specific screenshots, device simulation, and JavaScript execution for comprehensive web testing and monitoring.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rajcai7xo9)
- **Repository:** <https://github.com/seabassgonzalez/mcp-browser-screenshot>

## 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": "seabassgonzalez-mcp-browser-screenshot"
    }
  }
}
```

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