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What is Model Context Protocol (MCP), and how does it benefit Web Scraper API usage?

Learn how the Model Context Protocol upgrades AI model integration with web data sources.

Model Context Protocol (MCP) is a standardized framework that establishes secure two-way connections between AI models and web data sources.

🛠️ The process transforms raw HTML into formats that LLMs can immediately understand.

MCP allows LLMs to access web data obtained with Web Scraper APIarrow-up-right. Before MCP, integrating LLMs with web data required custom implementations for each source, leading to complex and hard-to-scale solutions.

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Customization capabilities

  • Tailor metadata parameters to match specific requirements.

  • Configure custom instructions and disclaimers.

  • Adjust context handling based on your LLM's processing needs.

🧠 See our documentationarrow-up-right and GitHubarrow-up-right for specific steps to enable MCP for your projects.

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