Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on Anthropic
Build with the Model Context Protocol (MCP)
3 hours 4.8(6,800 reviews)Free
Anthropic's Build with the Model Context Protocol (MCP) teaches you to extend Claude's capabilities using the Model Context Protocol, a new standard for connecting AI assistants to external tools and data sources. You learn to build and connect MCP servers that let Claude access databases, APIs, and custom tools. The course is free on Anthropic's developer site. After finishing, you understand how to give Claude access to real systems and build more powerful AI agents. The main limitation: MCP is new (2024), so ecosystem and tooling are still growing. This is for developers, not non-technical users.
OpenAI added MCP support across its products in March 2025, and Google DeepMind confirmed support in the Gemini SDK shortly after (source: techcrunch.com/2025/04/09/google-says-itll-embrace-anthropics-standard-for-connecting-ai-models-to-data/).
About This Course
The official MCP documentation and quickstart. Learn what MCP is, why it standardises tool use across LLMs, and how to build your own MCP servers and clients. The canonical resource for the protocol that underpins modern AI agents.
Course Details
- Platform
- Anthropic
- Language
- Generative AI
- Level
- intermediate
- Duration
- 3h
- Certificate
- No
- Cost
- Free
Frequently Asked Questions
Is the MCP course free?
Yes, completely free on Anthropic's developer site.
Do I need to be a developer?
Yes. MCP requires writing server code (Python, TypeScript, etc.). Non-developers should focus on using Claude directly first.
What can MCP do?
Connect Claude to databases, APIs, local files, web services, or custom logic. Let Claude read/write data, take actions, and make decisions based on real information.
Is MCP only for Claude?
It's an open standard, but Claude was the first to adopt it. Other AI assistants may adopt MCP later.
How hard is MCP to implement?
Moderate. You write a server that exposes tools/resources. If you know basic web development, you can build MCP servers.
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