MCP: Build Rich-Context AI Apps with Anthropic
Anthropic's Elie Schoppik turns a chatbot into an MCP app: build a server with FastMCP, test it in MCP Inspector, write a client, and deploy a remote server. Two hours, very hands-on.
Go to the course on DeepLearning.AI- Provider
- DeepLearning.AI (with Anthropic)
- Price
- Free
- Certificate
- Paid certificateDeepLearning.AI calls it an accomplishment; it needs Pro.
- Level
- Intermediate
- Time
- 1h 58m
- Format
- Short video course with code notebooks
- Checked
- 2026-11-05
Free for a limited time during the DeepLearning.AI platform beta. The graded quiz and accomplishment need Pro.
01
What you will learn.
- 01MCP architecture
- 02FastMCP servers
- 03MCP clients
- 04MCP Inspector
- 05Remote servers
- 06Claude Desktop
More inMCP courses
02
Before you enroll.
From the course page, checked 2026-11-05.
- You need
- Python (recommended)
- Basic LLM prompting and LLM app development (recommended)
- What you build
- A chatbot that searches academic papers, made MCP-compatible
- A local MCP server with tools, resources, and prompts, built with FastMCP
- An MCP client inside the chatbot
- A remotely deployed MCP server
- Good to know
- The Claude Desktop lesson needs the Claude Desktop app
03
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