Integration · MODEL CONTEXT PROTOCOL

ScreenshotOne MCP Server

A simple implementation of an MCP server for the ScreenshotOne API

WHAT IT CONNECTS

What ScreenshotOne MCP Server gives an AI Agent

The source catalog does not include a structured feature list. Review the repository documentation before use.

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

ScreenshotOne MCP Server

An official implementation of an MCP (Model Context Protocol) server for ScreenshotOne.

A few more words about why it was built and some thoughts about the future of MCP.

ScreenshotOne also offers an official hosted MCP server. See the ScreenshotOne MCP integration for setup instructions and the latest updates.

ScreenshotOne Server MCP server

Tools

  • render-website-screenshot: Render a website screenshot and return temporary screenshot, content, and slice URLs as requested.
  • extract-website-markdown: Render a website and return its cleaned Markdown directly as text.
  • get-usage: Get ScreenshotOne API quota and concurrency usage.

The screenshot tool exposes these focused options:

  • url
  • block_banners (defaults to true)
  • block_ads (defaults to true)
  • image_quality (defaults to 80)
  • full_page (defaults to false)
  • full_page_slices (defaults to false; requires full_page=true)
  • metadata_content (defaults to false)
  • metadata_content_format (html or markdown; requires metadata_content=true)

The option names and values for metadata content and full-page slices match the ScreenshotOne API. The tool does not expose response-type or cache controls; it always requests a JSON response with API caching disabled.

Set metadata_content=true and metadata_content_format=markdown to receive a temporary Markdown content URL with the screenshot. Set full_page=true and full_page_slices=true to receive smaller vertical screenshot URLs. Slices are preferred when an AI agent needs to analyze a long page that may not be handled reliably as one large image.

A successful capture returns the requested URLs as text and structured content:

{
    "url": "https://<screenshotone-cache-domain>/...",
    "content": {
        "url": "https://<screenshotone-cache-domain>/...",
        "expires": "Sun, 07 Sep 2026 12:00:00 GMT",
        "format": "markdown"
    },
    "slices": [
        {
            "index": 0,
            "offset_y": 0,
            "width": 1280,
            "height": 4000,
            "url": "https://<screenshotone-cache-domain>/..."
        }
    ]
}

The URLs are temporary. The screenshot URL is available for up to four hours, while metadata content includes its exact expiration time. Download any artifact you need to keep.

extract-website-markdown accepts only url. It is a focused shortcut for ScreenshotOne's format=markdown API request and returns the resulting Markdown directly in one MCP text response. Use it when the agent needs to read or analyze page content without a screenshot.

Usage

Build it

Always install dependencies and build it first:

npm install && npm run build

Get your ScreenshotOne API key

Sign up at ScreenshotOne and get your API key.

Run with npx

Run the CLI directly from the npm package without cloning the repository:

SCREENSHOTONE_API_KEY=your_api_key npx --yes @screenshotone/mcp

With Claude for Desktop

Add the following to your ~/Library/Application\ Support/Claude/claude_desktop_config.json:

{
    "mcpServers": {
        "screenshotone": {
            "command": "npx",
            "args": ["--yes", "@screenshotone/mcp"],
            "env": {
                "SCREENSHOTONE_API_KEY": "<your api key>"
            }
        }
    }
}

Standalone or for other projects

SCREENSHOTONE_API_KEY=your_api_key node build/index.js

License

ScreenshotOne MCP Server is licensed under the MIT License.

View README on GitHub

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