Mar 25
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Github Repo ► https://github.com/apscrapes/zyte-fetch-page-content-mcp-server Docker MCP toolkit ► https://docs.docker.com/ai/mcp-catalog-and-toolkit/toolkit/ ► Try Zyte API for free: https://hubs.li/Q03XYw6h0 ► Join our Community: https://hubs.li/Q03XYvZb0 ► Never get blocked: https://hubs.li/Q03XYw2C0 ------- AI agents are everywhere right now and MCP (Model Context Protocol) is quickly becoming the standard way to connect tools and data to LLMs like Claude. In this video, I’ll show you how to build your own MCP server from scratch and run it locally using Docker Desktop MCP Toolkit. As a real example, I built a Zyte PageContent Fetch MCP Server that can fetch essential data from any website and feed it directly into an LLM. Once the data is inside Claude, you can ask follow-up questions, summarize pages, extract insights, and automate workflows. This is incredibly powerful for **AI agents, developer tools, and web scraping workflows**. By the end of this tutorial, you'll know how to: • Understand what MCP servers are and why they matter • Build a custom MCP server for your own tools • Run and host it locally using Docker Desktop MCP Toolkit • Fetch structured website content using Zyte • Connect external data sources to LLMs like Claude This is a great starting point if you're building **AI agents, developer automation tools, or LLM-powered workflows**. ⚙️ Tech used in this tutorial : • Zyte API for PageContent • MCP (Model Context Protocol) • Docker Desktop MCP Toolkit • Claude AI • Python fastMCP --- 💡 Example use cases • AI agents that can browse websites • LLM-powered research assistants • Automated data extraction workflows • Developer tools powered by MCP #AI #MCP #Docker #ClaudeAI #AIagents #WebScraping #Zyte