MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol. Resources & Links: 🔗 OpenMCP GitHub: https://github.com/CopilotKit/open-mc... 🔗 Composio.dev (MCP Server Library): https://mcp.composio.dev/ 🔗 Notion Guide (Documentation): https://composio.notion.site/Cursor-M... Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows. In this video, I cover: ✅ What MCP and model context protocol are all about ✅ Why OpenMCP is a game-changer for AI and automation ✅ Hands-on demos with popular tools like Gmail, Notion, and Google Drive ✅ How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems ✅ A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks! https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_

Resources & Guides Explore our collection of articles, tutorials, and insights about MCP development. https://www.mcpappstore.com/ #mcp #tutorial #modelcontextprotocol #anthropic #claude #llm

Influencers Face New Challenges HeyGen has recently launched its UGC AI Avatar, a groundbreaking tool that allows users to create highly realistic avatars capable of delivering any message with lifelike expressions and body movements. The level of realism is so advanced that distinguishing these AI-generated avatars from real individuals is nearly impossible. Here’s a step-by-step tutorial to get started: https://x.com/EHuanglu/status/1897296618157957238

https://docs.lovable.dev/user-guides/video-tutorials Build real project on Lovable with video tutorials whilst learning Prompting ! #lovable #nocode #nocodedev #promptguide #aicoding #documentation

https://www.youtube.com/watch?v=02gzBiIqS9o&ab_channel=TrueCoders In this video, we will show how to install Avalonia on Windows and guide you through creating a sample project. For that, we need to install the latest version of the .NET SDK and Avalonia templates. After completing the installation, we'll use two IDEs: VS Code and the Visual Studio extension, to create our first Avalonia app. We’ll be bringing more tutorials, so subscribe to our channel!

https://youtu.be/Iabue7wtE4g?si=NlvvXGn80ZN80MxE In this video, I go through hands-on how to use the Anthropic computer use models and tools. Explain how they work and also show how you can get it started with Docker on your own computer. For more tutorials on using LLMs and building agents, check out my Patreon Patreon: / samwitteveen Twitter: / sam_witteveen Computer Use: https://www.anthropic.com/news/develo... Computer Use Docs: https://docs.anthropic.com/en/docs/bu... 👨‍💻Github: https://github.com/anthropics/anthrop...

https://astral.sh/ Useful Links: - https://docs.astral.sh/uv/getting-started/ - https://www.datacamp.com/tutorial/python-uv - https://www.mrcoder701.com/2024/08/04/how-to-create-python-virtual-environment-with-uv/ UV is a modern, high-performance Python package manager and installer written in Rust. It serves as a drop-in replacement for traditional Python package management tools like pip, offering significant improvements in speed, reliability, and dependency resolution. This tool represents a new generation of Python package managers, designed to address common pain points in the Python ecosystem such as slow installation times, dependency conflicts, and environment management complexity. UV achieves this through its innovative architecture and efficient implementation, making it 10-100 times faster than traditional package managers. Key features that make UV stand out: Lightning-fast package installation and dependency resolution Compatible with existing Python tools and workflows Built-in virtual environment management Support for modern packaging standards Reliable dependency locking and reproducible environments Memory-efficient operation, especially for large projects Whether working on small personal projects or managing large-scale Python applications, UV provides a robust and efficient solution for package management. In this tutorial, we will cover all essential aspects of UV so you can start using it immediately. #browser_use #computer_use #astral #uv #python_package_manager

https://youtu.be/E05tO8ic45E?si=9oBYRCL5G8_Y7QgW Ultimate Guide to Building and Automating with DeepSeek R1 - Game Development, Web Projects & More In this comprehensive tutorial, learn how to utilize DeepSeek R1 to build and automate a variety of projects, from games to websites. Starting with chat.deepseek.com, users can create diverse applications with a single prompt. This video covers running DeepSeek R1 locally via Olama for faster and offline usage, and exploring multiple models for varying performance. Additional tools like Bolt DIY and Make.com are demonstrated for creating useful applications and automating workflows. Discover how to seamlessly integrate DeepSeek R1 into different environments, including browser web UIs for advanced automation. Whether you're developing complex apps or seeking to enhance productivity, this guide provides all the steps and insights needed to master DeepSeek R1.