Скачать или смотреть C# MCP connect Web Crawler to your LLM - FREE CODE SAMPLES

https://StartupHakk.com/?v=ctG5n4rMuRE
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Model Context Protocol is an open standard initially developed by Anthropic but now fully embraced by Microsoft that lets LLMs communicate with external tools and data sources.
Think of MCP as a universal translator between your AI models and real-world systems - it standardizes how AI applications fetch and use data from outside sources.
Microsoft announced full MCP support at Build 2025, rolling it out through Windows AI Foundry and making it a core part of the Windows 11 ecosystem.
The real power of MCP comes from its ability to let LLMs break out of their knowledge cutoff limitations by accessing real-time information from the web.
Unlike simple API calls, MCP allows for complex back-and-forth communication, enabling your AI to make multiple connected requests as it explores the web.
This two-way interaction means your crawler can navigate based on the AI's evolving understanding of what information it needs to find.
A web crawler doesn't just fetch a single webpage - it systematically explores sites by following links, creating a map of connected information.
Unlike API-based searches that return pre-indexed results, our crawler actively explores the live web, finding fresh content that search engines might not have indexed yet.
Our C# implementation uses a depth-first search algorithm to intelligently navigate sites, avoiding loops and prioritizing the most valuable content.
When I built CleanRouter years ago, we had to implement a similar system to analyze web content for filtering - but this crawler is far more flexible and powerful.
The crawler handles all the complexities of modern websites - JavaScript rendering, forms, login workflows, and even content hidden behind "load more" buttons.
By packaging all this capability in an MCP server, we're giving our LLM a powerful tool it can call whenever it needs to research or verify information.

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