| 01 - Introduction | |||
| 01 - Introducing Blender 4.0 for beginners.mp4 | 12.2 MB | ||
| 02 - How to install and things to know.mp4 | 12.77 MB | ||
| 03 - How to use the exercise files.mp4 | 2.76 MB | ||
| 02 - 1. Your First Hour with Blender | |||
| 01 - Understanding how Blender works.mp4 | 15.49 MB | ||
| 02 - Menus, search, and shortcuts.mp4 | 12.02 MB | ||
| 03 - Create your first objects in Blender.mp4 | 20.31 MB | ||
| 04 - How to use modifiers in Blender.mp4 | 15.94 MB | ||
| 05 - How to add materials to objects in Blender.mp4 | 14.21 MB | ||
| 06 - Add lights and change their colors in Blender.mp4 | 18.22 MB | ||
| 07 - Challenge Make your first scene in Blender 4.0.mp4 | 8.79 MB | ||
| 08 - Solution Render your first scene in Blender.mp4 | 18.5 MB | ||
| 03 - 2. Create a Starfighter | |||
| 01 - Overview of creation tools in Blender.mp4 | 1.79 MB | ||
| 02 - Creating concepts with Grease Pencil.mp4 | 21.07 MB | ||
| 03 - Storyboarding with Grease Pencil.mp4 | 14.76 MB | ||
| 04 - Learn to 3D model in Blender.mp4 | 17.47 MB | ||
| 05 - Advanced 3D modelling tools in Blender.mp4 | 24.6 MB | ||
| 06 - Add details with Boolean.mp4 | 18.12 MB | ||
| 07 - Challenge Fix a 3D model.mp4 | 4.31 MB | ||
| 08 - Solution N-Gons in Blender.mp4 | 8.88 MB | ||
| 04 - 3. Shade and Texture | |||
| 01 - Overview of shading and texturing.mp4 | 2.62 MB | ||
| 02 - Creating your first material in Blender.mp4 | 25.6 MB | ||
| 03 - Add details with advanced materials.mp4 | 24.72 MB | ||
| 04 - Why you should use Node Wrangler.mp4 | 15.57 MB | ||
| 05 - Setting up your objects for painting.mp4 | 25.92 MB | ||
| 06 - Painting a texture inside of Blender.mp4 | 29.67 MB | ||
| 07 - Challenge Detail your starfighter.mp4 | 4.4 MB | ||
| 08 - Solution Detail your starfighter.mp4 | 20.95 MB | ||
| 05 - 4. Learn to Rig and Animate | |||
| 01 - Overview of animation.mp4 | 2.09 MB | ||
| 02 - What is rigging and why is it important.mp4 | 19.58 MB | ||
| 03 - Refine your rig in Blender.mp4 | 45.17 MB | ||
| 04 - Set your first keyframe in Blender.mp4 | 15.64 MB | ||
| 05 - Why Pose Mode is awesome for animation.mp4 | 21.26 MB | ||
| 06 - The Graph Editor.mp4 | 24.65 MB | ||
| 07 - Challenge Animate your first scene.mp4 | 10.48 MB | ||
| 08 - Solution Animate your first scene.mp4 | 32.4 MB | ||
| 06 - 5. Why Geometry Nodes Are Amazing | |||
| 01 - Overview of Geometry Nodes in Blender.mp4 | 12.9 MB | ||
| 02 - Geometry Node samples.mp4 | 41.13 MB | ||
| 03 - Your first Geometry Node setup.mp4 | 24.71 MB | ||
| 04 - Using Geometry Nodes for a trench run.mp4 | 29.04 MB | ||
| 05 - Using Geometry Nodes for VFX.mp4 | 35.25 MB | ||
| 06 - Turn your Geometry Node into a tool.mp4 | 17.11 MB | ||
| 07 - Challenge Implement Geometry Nodes.mp4 | 3.14 MB | ||
| 08 - Solution Implementing Geometry Nodes.mp4 | 60.04 MB | ||
| 07 - 6. Put It All Together | |||
| 01 - How to organize your scenes in Blender.mp4 | 51.35 MB | ||
| 02 - Valuable online libraries for Blender.mp4 | 14.98 MB | ||
| 03 - Working with lights in Blender.mp4 | 37.24 MB | ||
| 04 - Rendering with Cycles.mp4 | 23.8 MB | ||
| 05 - What is EEVEE and Hydra.mp4 | 36.91 MB | ||
| 06 - Color, compositing, and Kuwahara.mp4 | 23.26 MB | ||
| 07 - Challenge Render your first animation.mp4 | 14.05 MB | ||
| 08 - Solution Render your first animation.mp4 | 33.39 MB | ||
| 08 - Conclusion | |||
| 01 - Next steps.mp4 | 31.8 MB |
Arnold Oberleiter – MCP: Building Agents with Claude, Cursor, Flowise, Python & n8n (2025)
What You’ll Learn
Introduction to the Model Context Protocol (MCP): Practical guidance for getting started with the course and expanding LLM capabilities through tools, prompts, and external resources.
MCP fundamentals and integration in Claude Desktop: Understanding JSON structures, comparing server types, configuring via Node.js, and installing MCP using the official installer.
Build your own workflows in Claude Desktop: Access local applications, integrate databases, and connect API keys securely.
Connect MCP with Cursor & Vibe Coding: Install Python using pyenv, explore the Cursor interface, link to OpenAI or Claude, and use MCP flexibly.
API Keys and Access Control: Configure OpenAI, OpenRouter, and other APIs; understand pricing models and restrictions; set up projects in Cursor.
Host your own MCP server in n8n: Install Node.js, learn triggers and actions, understand the MCP client and host architecture, and deploy your server securely.
Extend your n8n MCP server: Connect to Claude, Cursor, or GitHub nodes, integrate Zapier-like functionality for free, and add your own tools.
Integrate Vector Databases with MCP: Automate Pinecone management through Google Drive, export workflows, and build RAG agents with vector search.
HTTP Integration and GDPR-Compliant Hosting: Send HTTP requests to MCP servers even without official MCP support; learn best hosting practices.
Use MCP in Flowise, LangChain, and LangGraph: Install Flowise, explore its interface, compare agent platforms, and study real-world examples.
Tool Agents with MCP: Integrate email, calendars, Airtable, web scraping, and Pinecone into Flowise for scalable automation.
Flowise AI Agents V2 and new features: Use LangGraph, manage data with SQLite, and merge tool agents with vector access.
Specialized MCP Workflows: Voice control for LLMs, Blender automation, custom image generation via OpenAI and n8n workflows.
Develop your own MCP server in Python: Learn MCP server architecture, GitHub integration, tool connections, and MCP Inspector usage.
Define your own prompt templates and resources: Use the modelcontextprotocol Python SDK to manage custom prompts and data structures for Claude integration.
About the Course
The Model Context Protocol (MCP) is one of the most exciting new technologies in AI automation and agent development.
Large Language Models need more than prompts — they need context, tools, and external resources. MCP enables exactly that.
You’ll learn:
How MCP works in practice.
How to create your own MCP servers.
How to use clients like Claude Desktop, Cursor, Windsurf, n8n, or Flowise.
How to automate, secure, and integrate everything into your own AI project.
Step by step, with clear explanations, real examples, and ready-to-use workflows.
Curriculum Overview
Foundations: Understanding and Using the Model Context Protocol
Full overview of MCP concepts, architecture, and real-world applications.
Learn how to connect tools, prompts, and resources to LLMs such as Claude, GPT, or Gemini using MCP.
Access curated resources, materials, and a dedicated course hub.
Understand prompt-design principles and how system prompts work within the MCP framework.
Integrating MCP with Claude Desktop
Install Claude Desktop using Node.js and NVM; configure your first server setup.
Use JSON files and the official MCP installer to connect tools, databases, and custom APIs.
Understand the types of servers (Tool, Prompt, Database servers) and their use cases.
Connect Claude Desktop to local systems or online services with API key protection.
Install Python via pyenv and use the UV package manager to launch your first local MCP server.
Combine MCP with Cursor, Vibe Coding, and Python
Configure Cursor as a flexible client, connect to existing MCP servers (e.g., Zapier), and explore its strengths and limitations.
Use Vibe Coding and Python-based configurations for MCP structuring.
Manage API keys effectively, study pricing structures, and build a multi-tool MCP configuration.
Create, Host, and Automate MCP Servers with n8n
Install and configure n8n locally as a full-featured MCP platform.
Create triggers and actions; use custom nodes to connect Claude, Cursor, GitHub, or Google Drive.
Integrate Pinecone and other vector databases for RAG agents within your MCP server.
Host MCP servers on a VPS for 24/7 uptime and secure API access.
Implement GDPR-compliant authentication and hosting strategies.
Using MCP in Flowise, LangChain, and LangGraph
Install Flowise and build complex tool workflows (email, calendar, Airtable, web search) with Agent V2.
Use LangGraph for multi-step agent orchestration with clear role separation.
Manage Pinecone databases via SQLite, merge LangChain functionality, and create scalable automations.
Explore the Flowise interface and build your own assistants fully integrated with MCP.
Creative Projects and Specialized MCP Workflows
Create voice interfaces for your LLM using MCP.
Automate 3D workflows in Blender via Claude, Python, and custom MCP servers.
Use the OpenAI API in n8n for automatic image generation.
Collaborate with the community and explore innovative, creative use cases.
Developing MCP Servers in Python
Write MCP servers in Python or TypeScript: handle requests, integrate tools, and manage resources.
Use the modelcontextprotocol Python SDK to create Claude-compatible prompt templates.
Debug with MCP Inspector and expand your setup with Server-Sent Events (SSE).
Understand all MCP transport types — STDIO, SSE, and Streamable HTTP — and when to use them.
Publish your MCP server on GitHub and explore hosting options like Cloudflare, AWS, or Azure.
Avoid common pitfalls and follow best practices for stable, secure development.
Security, Privacy, and Legal Foundations
Identify and mitigate threats such as tool poisoning, jailbreaks, prompt injections, and MCP hijacking.
Protect your MCP servers with API keys, authentication, and proper access control.
Understand major data-privacy laws like GDPR and the EU AI Act, and ensure compliance for hosted generative AI services.
Explore real-world examples and get practical legal and technical recommendations.
After the Course
By the end, you’ll be able to create, host, develop, and integrate MCP-based agents into tools like Claude, n8n, Cursor, or Flowise.
You’ll know how to build secure MCP servers, connect them across your projects, and even offer them as a service.
You’ll gain full control of the MCP ecosystem — whether for business, automation, or personal AI development.
Would you like me to format this as a course landing page (e.g., for a website or platform like Udemy/LearnWorlds) — with proper HTML sections, visual hierarchy, and marketing-ready tone?
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