Master AI Agents with MCPs: Add agentic behavior to Python, Claude & Cursor, COMPLETELY HANDS ON!
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Stop watching instructors read out documentation aloud. Start building real-world projects with confidence.
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This course delivers what many others don't - genuine hands-on experience developing and integrating MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world Model Context Protocol challenges.
Why Model Context Protocol matters: MCPs solve a critical problem in the multi-LLM world by creating standardized ways for AI models to interact with external systems. This bootcamp takes you from fundamental concepts and third-party MCP integration to an implementation of a real-world project at every step.
Course Structure: This course follows a hands-on, practical approach. We start with the theoretical foundations to understand MCPs in context, then quickly move to building real working applications:
THEORETICAL SECTION:
How LLM interactions and tool calling work
The problem MCPs solve in a multi-LLM world
Core MCP concepts and architecture
MCP features: Tools, Prompts, and more
Where MCPs fit in the AI ecosystem
PRACTICAL SECTION:
Complete development environment setup for Mac & Windows
Working with MCP hubs and global providers
Integrating MCPs with Claude and Cursor
Step-by-step creation of your own Crypto Price MCP
Working with MCP Tools and Resources
Testing and debugging MCPs with MCP Inspector
Integrating MCPs into LangChain, LangGraph and LangSmith
OUTLOOK
A sneek peak into Anthropic's MCP Roadmap about the future of the project
Join developers and AI enthusiasts already mastering MCP and transform your AI development skills today!