Building MCP Servers (Model Context Protocol)
The emerging standard for connecting AI agents to external tools and data sources. This comprehensive curriculum is designed to give you hands-on experience with Building MCP Servers (Model Context Protocol).
About this Course
The emerging standard for connecting AI agents to external tools and data sources. This comprehensive curriculum is designed to give you hands-on experience with Building MCP Servers (Model Context Protocol). This AI Engineers & Tool Builder curriculum is designed to give you hands-on experience and deep conceptual understanding.
Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.
What you'll learn
Master the core concepts of model context protocol (mcp) core architecture.
Gain hands-on experience with exposing tools & dynamic function calling.
Understand the architecture behind managing resources & dynamic context pushing.
Implement production-grade security, authentication & remote sse transports.
W1
Model Context Protocol (MCP) Core Architecture
Model Context Protocol (MCP) Core Architecture
Master the core concepts of model context protocol (mcp) core architecture.
3 videos•58m
3 readings
3 topics
1 homework
Topics
1.1
Configure Salesforce MCP Servers with Claude AI
MCP Specification: Host, Client, and Server Roles
11 minutes
1.2
Model Context Protocol (MCP) Architecture Explained: Servers, JSON-RPC & Tools
JSON-RPC 2.0 Protocol Framing over stdio & SSE
8 minutes
1.3
you need to learn MCP RIGHT NOW!! (Model Context Protocol)
Capability Negotiation & Lifecycle Protocol
39 minutes
References
Week 1: Model Context Protocol (MCP) Core Architecture
Week 2: Exposing Tools & Dynamic Function Calling
Week 3: Managing Resources & Dynamic Context Pushing
Week 4: Security, Authentication & Remote SSE Transports
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