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Crawl4AI: Open-source LLM-friendly web crawler and scraping tool.

Configuring a Crawl4AI MCP Tool Instance

On the XpertAI platform, you can directly configure the built-in Crawl4AI MCP service as an SSE-type MCP tool instance for use by agents and workflows.
You can also find Crawl4AI in the MCP tool template marketplace and create it with one click.
Configuration steps are as follows:
  • Configuration Example When adding an MCP tool on the XpertAI platform, configure it as:
  • Usage Once configured, agents or workflows can directly call the capabilities provided by the crawl4ai MCP tool (e.g., md, html, screenshot, pdf, crawl, ask, etc.) during orchestration.

Use Cases

Use Case 1: Automated Web Content Collection Agent (“Summary Bot”)

Objective: Enable users to submit a webpage link through an intelligent agent to automatically retrieve a Markdown text summary of the page.

Key Steps

  1. User inputs a link → The agent triggers the MCP’s md tool to convert the target webpage into Markdown text.
  2. The agent receives and displays the summary, and can further extract key content based on user needs.

Summary Illustration

Use Case 2: Multimedia Content Capture and Analysis Workflow (“Report Generator”)

Objective: After a user inputs a target URL, the agent automatically captures a webpage screenshot and PDF, and generates a final report on the XpertAI platform.

Implementation Steps

  1. User inputs a link → The agent sequentially calls:
    • screenshot: Generates a webpage screenshot
    • pdf: Exports the webpage as a PDF
    • Optional: ask or html → Extracts structured text content
  2. The agent compiles the screenshot, PDF, and text into a shareable report.

Workflow Illustration

Cross-Scenario Common Configuration Notes

  • MCP Tool List
  • For more tool parameters and usage, visit: https://docs.crawl4ai.com/core/docker-deployment/#mcp-model-context-protocol-support