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Building MCP Servers with FastMCP — Powering AI Agents with Secure Context Integration

The Model-Context Protocol (MCP) is a revolutionary standard that allows AI agents — like GitHub Copilot, Gemini, and other advanced systems — to securely access and interact with external databases, APIs, and applications.

  • Lesson: 1
  • 01:14:17 Hrs
  • Last Updated 10/26/2025

What will i learn??

  • Understand what the Model-Context Protocol (MCP) is and how it powers AI agents
  • Build fully functional MCP servers using the FastMCP Python library
  • Create both STIO and HTTP Stream communication channels
  • Integrate APIs for dynamic, secure AI interactions
  • Deploy and scale MCP-enabled AI solutions in production

Curriculum for this course Lesson: 1 01:14:17 Hrs

Section 1: Building MCP Servers with FastMCP — Powering AI Agents with Secure Context Integration Lesson

  • Lesson 1: Building MCP Servers with FastMCP — Powering AI Agents with Secure Context Integration01:14:17

Description

The Model-Context Protocol (MCP) is a revolutionary standard that allows AI agents — like GitHub Copilot, Gemini, and other advanced systems — to securely access and interact with external databases, APIs, and applications.

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