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Steel Puppeteer: Precision Engineered, Unyielding Power - MCP Implementation

Steel Puppeteer: Precision Engineered, Unyielding Power

Steel Puppeteer: Master precision & power with mirror-like control. Turn vision into unyielding steel—where every pull bends destiny, not metal." )

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About Steel Puppeteer

What is Steel Puppeteer: Precision Engineered, Unyielding Power?

Steel Puppeteer is a high-performance server framework designed to empower machine learning models and automation systems with seamless web interaction capabilities. Leveraging Puppeteer's headless browser control and Steel's robust infrastructure, it enables precise execution of complex web tasks including dynamic content rendering, form automation, and real-time data extraction. This solution bridges the gap between AI-driven workflows and live web environments, delivering enterprise-grade reliability.

How to use Steel Puppeteer: Precision Engineered, Unyielding Power?

  1. Environment Setup: Configure your development environment with Node.js and necessary Puppeteer dependencies.
  2. Claude Integration: Add server configuration to your Claude Desktop instance using the provided API endpoints.
  3. Execution Workflow: Deploy scripts to trigger controlled browser sessions, process dynamic content, and extract structured data outputs.
  4. Monitoring & Optimization: Utilize built-in logging and performance metrics to refine automation pipelines.

Steel Puppeteer Features

Key Features of Steel Puppeteer: Precision Engineered, Unyielding Power?

  • Headless Browser Control: Full automation of Chromium-based browsers at scale
  • AI Integration Layer: Optimized API endpoints for ML model input/output handling
  • Dynamic Rendering Engine: Processes JavaScript-heavy pages with pixel-perfect accuracy
  • Security Framework: Isolated execution environments with sandboxed browser instances
  • Performance Analytics: Real-time metrics dashboard for task execution tracking

Use Cases of Steel Puppeteer: Precision Engineered, Unyielding Power?

Automated Testing

Execute end-to-end tests across multiple browsers and device configurations in parallel.

Web Scraping

Extract data from SPAs and dynamically loaded content that traditional scrapers cannot access.

ML Data Orchestration

Create training datasets by automating content collection from secure enterprise web applications.

Compliance Automation

Automate regulatory reporting by interacting with password-protected government web portals.

Steel Puppeteer FAQ

FAQ from Steel Puppeteer: Precision Engineered, Unyielding Power?

Q: How does it handle CAPTCHA challenges?

A: Provides integration hooks for third-party CAPTCHA solving services while maintaining session continuity.

Q: What browsers are supported?

A: Chromium-based browsers are natively supported, with Firefox support available through experimental mode.

Q: Can it run on cloud infrastructure?

A: Fully compatible with AWS Lambda, Google Cloud Run, and Kubernetes deployments with our containerized packages.

Q: How is session isolation achieved?

A: Each task runs in ephemeral Docker containers with memory limits and network restrictions enforced.

Content

Steel Puppeteer

A Model Context Protocol server that provides browser automation capabilities using Puppeteer and Steel. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Components

Tools

  • puppeteer_navigate

    • Navigate to any URL in the browser
    • Inputs:
      • url (string, required): URL to navigate to
      • timeout (number, optional, default: 60000): Navigation timeout in milliseconds
      • waitUntil (string, optional, default: "domcontentloaded"): When to consider navigation succeeded. Options: "load", "domcontentloaded", "networkidle0", "networkidle2"
  • puppeteer_screenshot

    • Capture screenshots of the entire page or specific elements
    • Inputs:
      • name (string, required): Name for the screenshot
      • selector (string, optional): CSS selector for element to screenshot
  • puppeteer_click

    • Click elements on the page
    • Input: selector (string, required): CSS selector for element to click
  • puppeteer_fill

    • Fill out input fields
    • Inputs:
      • selector (string, required): CSS selector for input field
      • value (string, required): Value to fill
  • puppeteer_select

    • Select an element with SELECT tag
    • Inputs:
      • selector (string, required): CSS selector for element to select
      • value (string, required): Value to select
  • puppeteer_hover

    • Hover elements on the page
    • Input: selector (string, required): CSS selector for element to hover
  • puppeteer_evaluate

    • Execute JavaScript in the browser console
    • Input: script (string, required): JavaScript code to execute
  • puppeteer_get_content

    • Extract content from the current page
    • Input: selector (string, optional): CSS selector to get content from specific elements. If not provided, returns whole page content
  • puppeteer_scroll

    • Scroll the page to trigger lazy-loading
    • Inputs:
      • scrollDelay (number, optional, default: 100): Delay between scrolls in milliseconds
      • maxScrolls (number, optional, default: 50): Maximum number of scrolls

Resources

The server provides access to two types of resources:

  1. Console Logs (console://logs)
* Browser console output in text format
* Includes all console messages from the browser
  1. Screenshots (screenshot://<name>)
* PNG images of captured screenshots
* Accessible via the screenshot name specified during capture

Key Features

  • Browser automation with Puppeteer
  • Steel integration for browser session management
  • Console log monitoring and capture
  • Screenshot capabilities
  • JavaScript execution
  • Basic web interaction (navigation, clicking, form filling)
  • Content extraction with token limit handling
  • Lazy-loading support through scrolling
  • Local and remote Steel instance support

Configuration

Claude Desktop Configuration

To use the Steel Puppeteer server with Claude Desktop, add the following configuration to your Claude Desktop config file (typically located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "steel-puppeteer": {
      "command": "node",
      "args": ["path/to/steel-puppeteer/dist/index.js"],
      "env": {
        "STEEL_LOCAL": "true"
      }
    }
  }
}

Replace "path/to/steel-puppeteer/dist/index.js" with the actual path to the compiled JavaScript file on your system.

Environment Variables

The Steel Puppeteer server can be configured using the following environment variables:

  • STEEL_LOCAL (optional, default: "false"): Set to "true" to use a local Steel instance instead of the cloud service.
  • STEEL_API_KEY (required only if STEEL_LOCAL is "false"): Your Steel API key for authentication when using the cloud service.
  • STEEL_URL (optional): The URL of your Steel instance if using a custom deployment.

Server Configuration

If you're running the Steel Puppeteer server directly (not through Claude Desktop), you can set these environment variables in your shell or create a .env file in the project root. Here's an example .env file for local usage:

STEEL_LOCAL=true

If you're using the Steel cloud service, your .env file would look like this:

STEEL_API_KEY=your-steel-api-key
STEEL_LOCAL=false

Running the Server

To start the Steel Puppeteer server:

  1. Install dependencies:

    npm install

  2. Build the project:

    npm run build

  3. Start the server:

    npm start

  4. Open Claude Desktop and browse away! The server will start and listen on the specified port (default: 3000).

Troubleshooting

  • If you encounter issues with Puppeteer, ensure that you have the necessary dependencies installed on your system. Refer to the Puppeteer troubleshooting guide for more information.
  • If using the Steel cloud service, make sure your Steel API key is valid and has the necessary permissions.
  • If using a local Steel instance, ensure it's running and accessible at the specified URL (if custom) or at the default local address.

For more detailed configuration options and advanced usage, refer to the Steel documentation and the Puppeteer API reference.

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