Getting Started with MCP Servers: A Beginner's Guide
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Connecting Claude AI with Hugging Face Tools
Master Agentic Workflows
1
Getting Started with MCP Servers: A Beginner's Guide
9:23
2
Integrating Claude AI with Hugging Face via MCP Server
10:20
3
Expanding Your MCP Server with Hugging Face Tools
15:58
4
Manus AI Explained: How Autonomous Agents Are Changing the Game
8:17
5
Using an AI Agent for Product Research
14:09
6
Breaking Down Genspark: Multi-Model Intelligence in Action
13:48
7
Maximizing Value from AI Tools: Cost and Strategy Guide
7:25
8
Solving Documentation Chaos with Context7
11:17
9
Open Source AI Assistants: Cline and Roo Code
7:59
10
Inside Cline: Installing and Managing MCPs
14:08
11
Cline Rules: Customizing AI Behavior for Your Projects
7:50
12
Choosing and Using AI Models in Cline with OpenRouter
8:50
13
Mastering Plan and Act Workflow with a Modern Snake Game
10:23
14
Defining Scope and Starting the Code
8:58
In this section, we will learn about MCP servers. At first, it might be a little confusing to understand what an MCP server does, but once you get hands-on with a couple of examples, everything really starts to fall into place. We will cover how to test it and how to install it, but first, let’s understand what an MCP server is.
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1
Getting Started with MCP Servers: A Beginner's Guide
Connecting Claude AI with Hugging Face Tools
9:23
2
Integrating Claude AI with Hugging Face via MCP Server
Editing Claude’s Config File for MCP Integration
10:20
3
Expanding Your MCP Server with Hugging Face Tools
Updating the MCP Config File with New Tools
15:58
4
Manus AI Explained: How Autonomous Agents Are Changing the Game
How It Works: The Tech Stack Behind the Agent
8:17
5
Using an AI Agent for Product Research
Key Takeaways: Real Value from Real AI Workflows
14:09
6
Breaking Down Genspark: Multi-Model Intelligence in Action
A Real Use Case for Lead Generation
13:48
7
Maximizing Value from AI Tools: Cost and Strategy Guide
Breaking Down the Credit Usage
7:25
8
Solving Documentation Chaos with Context7
Real-World Examples: Accurate Code from Official Sources
11:17
9
Open Source AI Assistants: Cline and Roo Code
Why Open Source Matters: Transparency, Control, and Cost
7:59
10
Inside Cline: Installing and Managing MCPs
Testing MCP Tools: From Wiping Logs to Fetching Data
14:08
11
Cline Rules: Customizing AI Behavior for Your Projects
Using the .clinerules Folder for Modular Rule Management
7:50
12
Choosing and Using AI Models in Cline with OpenRouter
Avoiding Context Truncation with Max Models
8:50
13
Mastering Plan and Act Workflow with a Modern Snake Game
Understanding Plan Mode: Mapping Before Coding
10:23
14
Defining Scope and Starting the Code
Building Game Logic and AI Snake
8:58
Meet the instructor
We all try to be consistent with our way of teaching step-by-step, providing source files and prioritizing design in our courses.
Vanh Roeung
Developer
Developer at Design+Code
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