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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_

https://wandb.ai/byyoung3/Generative-AI/reports/The-Model-Context-Protocol-MCP-A-Guide-for-AI-Integration--VmlldzoxMTgzNDgxOQ https://www.linkup.so/blog/model-context-protocol-here-is-the-leap-to-the-agentic-world https://www.claudemcp.com/ https://www.linkup.so/blog/model-context-protocol-here-is-the-leap-to-the-agentic-world

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

OpenAl's President, Greg Brockman, has shared a four-pillar framework to help users craft effective Al prompts. This approach aims to enhance the clarity and precision of Al-generated responses. The four pillars are: ✅Define a Clear Goal: A specific objective ensures the Al focuses on relevant details. Instead of asking, “Tell me about cars,” a better prompt would be, “Compare electric and gasoline cars in terms of cost, maintenance, and environmental impact.” ✅Specify the Return Format: Indicating the desired output format-such as bullet points, tables, or paragraphs-helps streamline responses. For instance, requesting a table for comparisons ensures organized and easy-to-read results. ✅Adding Warnings: Incorporate instructions to enhance the accuracy of the response. For example, "List the top five safest car brands based on 2024 crash test ratings, excluding outdated information." ✅Provide Context: Supplying background information or preferences personalizes the response. For example, clarifying that you need a fuel-efficient car for long highway drives can refine recommendations. By applying this framework, users can guide Al models to deliver more precise, structured, and relevant outputs. #AI #Automation #WebDev #DigitalMarketing #gregbrockman #openai #promptframework

Anthropic has launched a significant overhaul to its developer platform, introducing team collaboration features and extended reasoning capabilities for its Claude AI assistant that aim to solve major pain points for organizations implementing AI solutions. The upgraded Anthropic Console now allows cross-functional teams to collaborate on AI prompts — the text instructions that guide AI models — and also supports the company’s latest Claude 3.7 Sonnet model with new controls for complex problem-solving - 6 March, 2025 https://venturebeat.com/ai/anthropic-just-launched-a-new-platform-that-lets-everyone-in-your-company-collaborate-on-ai-not-just-the-tech-team/

To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/DevelopersDigest/ . You’ll also get 20% off an annual premium subscription. Build and Deploy Your Own Model Context Protocol Server with Cloudflare Workers In this video, I show you how to build and deploy your own Model Context Protocol (MCP) server using CloudFlare workers. MCP, introduced by Anthropic last year, has gained traction with integrations in Claude Desktop App, Cursor, and Windsurf. I'll guide you through setting up the server, initializing a project, and deploying it, complete with a TypeScript implementation. Also, learn how to handle function invocations and update your MCP servers. Don't forget to try out Brilliant.org for enhancing your analytical skills! https://youtu.be/3Jsh4brTjE0?si=3J8_2Wu2DzjYqNf0

https://displaii.com/blogs/271/Understanding-Proxy-AI-A-Guide-for-AI-Enthusiasts This article was written by Proxy AI with just a few tweaks after but it successfuly posted everything required !

https://www.promptingguide.ai/agents/introduction In this guide, we refer to an agent as an LLM-powered system designed to take actions and solve complex tasks autonomously. Unlike traditional LLMs, AI agents go beyond simple text generation. They are equipped with additional capabilities, including: Planning and reflection: - AI agents can analyze a problem, break it down into steps, and adjust their approach based on new information. - Tool access: They can interact with external tools and resources, such as databases, APIs, and software applications, to gather information and execute actions. - Memory: AI agents can store and retrieve information, allowing them to learn from past experiences and make more informed decisions. This lecture discusses the concept of AI agents and their significance in the realm of artificial intelligence.

https://forum.cursor.com/t/an-idiots-guide-to-bigger-projects/23646 If you’ve been using Cursor for a while, and started to get into more complex projects with it, you’ll almost certainly have come across the challenges of keeping things on track. It’s not something specific to Cursor of course, it tends to be the nature of AI-assisted coding in general. Small context easy, big context hard. The models have come a long way, but in general humans still tend to do better at knowing what actually belongs in the bigger picture.

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