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 API. Before MCP, integrating LLMs with web data required custom implementations for each source, leading to complex and hard-to-scale solutions.
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 documentation and GitHub for specific steps to enable MCP for your projects.
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