DeepLearning.AIHands-on reviewedEditor's pick
MCP: Build Rich-Context AI Apps with Anthropic
Reviewed by AI Agent Rank editors · Last verified 2026-05-23
Our take
MCP (Model Context Protocol) is the standard Anthropic introduced for connecting LLMs to external tools and data sources — and in 2026 it's becoming the lingua franca across Claude, Cursor, and most agent runtimes. This course is the canonical introduction, taught by Anthropic. Free, 90 minutes, hands-on building MCP servers and clients. The right course to take after the basic prompt engineering tutorials, before building production agents.
Pros
- +Authored by Anthropic — MCP is their protocol
- +Free, hands-on, fast
- +MCP is becoming standard — investment compounds across Claude, Cursor, agent frameworks
Cons
- −Newer course — feedback corpus is smaller than the older shorts
- −Pre-req: comfortable with Python + API calls
Best for
- · Developers building production AI agents in 2026
- · Anyone integrating LLMs with proprietary tools/data
Not ideal for
- · Beginners — assumes Python + LLM basics
- · Non-developers — MCP is fundamentally a developer-protocol
Ready to enroll?
Free on DeepLearning.AI · ~1.5 hours
After this course
These are the agents and tools where the skills from this course actually pay back.
Alternatives we considered
Other courses on the same topic. The right pick depends on your level and constraints — see each card for the trade-offs.