Build AI Agents using MCP
Completed by Danijel Popović
March 12, 2026
10 hours (approximately)
Danijel Popović's account is verified. Coursera certifies their successful completion of Build AI Agents using MCP
What you will learn
Explain the architecture, components, and use cases of the Model Context Protocol (MCP), and how it differs from traditional APIs and tool calling
Build and run MCP servers using FastMCP, configuring tools, resources, and prompts to support AI applications such as retrieval-augmented generation
Develop MCP clients that connect to single and multiple servers using STDIO and Streamable HTTP for structured, context-aware LLM interactions
Implement secure, interactive MCP workflows by applying sampling, roots, and permission-based user-approval mechanisms for multi-agent applications
Skills you will gain
- Category: Agentic systems
- Category: Authorization (Computing)
- Category: Requirements Elicitation
- Category: JSON
- Category: AI Orchestration
- Category: Agentic Workflows
- Category: AI Security
- Category: Responsible AI
- Category: Context Management
- Category: AI Integrations
