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AI Anytime

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AI Anytime Core Members

AI Anytime core members are experts in AI, ML, Cloud Computing, DSA, SDE, etc.—pioneers and pillars driving innovation

Who is Sonu Kumar?

I embarked on my AI journey in 2016, driven by an insatiable curiosity and a commitment to lifelong learning. As an educator, I founded “AI Anytime,” a YouTube channel later stemmed out to be a community dedicated to demystifying AI. Through project-based tutorials, I share my knowledge and experiences, empowering others to grasp and apply advanced technologies, regardless of their background.

For more insights and tutorials on AI, you can explore my YouTube channel, “AI Anytime”.

Our Recent Activities

Highlights from Our Recent Engagements

Epitome 2025 by SDC GRIET

Served as a judge for a 2-day AI in Healthcare-themed hackathon at Gokaraju Rangaraju Engineering College, Hyderabad, evaluating innovative AI-driven healthcare solutions.

PyConf 2025 Hyderabad

Spoke at this national-level event at T-Hub, leading a workshop on AI/ML topics, sharing insights with developers and researchers.

HYDPY Hackathon

Judged AI agent-based solutions at Bilvantis Technologies, Hyderabad, assessing cutting-edge implementations of autonomous AI systems.

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In this video, I walk you through how to use Model Context Protocol (MCP) with n8n, now that MCP has released their official support for it! I’ll show you step-by-step how to: ✅ Set up MCP in your n8n workflow ✅ Connect your AI assistant to real-time tools and external data ✅ Automate intelligent decisions using agentic context ✅ Build smarter workflows with minimal code Whether you're new to MCP or already building AI-powered workflows with n8n, this demo will help you unlock powerful capabilities using the new official MCP support. 👨‍💻 Tools used: 1. n8n (self-hosted) 2. MCP Client & Server setup 3. Example workflow Let me know in the comments what you’re building with MCP + n8n — I’d love to check it out! 👉 If you found this helpful, don’t forget to like, drop a comment, and subscribe to the channel for more AI + automation tutorials! Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #mcp #n8n #ai
14 - Use MCP on n8n | Official MCP Support Demo 🚀
In this tutorial, I’ll walk you through how to push your custom MCP server to PyPI and use it seamlessly within Goose’s MCP client setup. What you’ll learn in this video: ✅ How to prepare your MCP server for PyPI ✅ How to publish the server package to PyPI ✅ How to consume the MCP server package in Goose’s client ✅ Tips to debug and test your setup locally ✅ How this integrates into the larger Codename Goose + MCP ecosystem Why this matters: ✅ Unlock the full potential of Goose with your own extensions ✅ Take control of AI agent interactions locally ✅ Contribute meaningfully to the open-source MCP ecosystem If you found this helpful, please like, drop a comment, and subscribe for more tutorials on building with AI agents, open-source tools, and protocol-powered systems like MCP. Let me know what you build — and see you in the next one! GitHub: https://github.com/AIAnytime/Awesome-MCP-Server/tree/main/mcp-wiki Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #goose #mcp #modelcontextprotocol #ai
13 - Goose + MCP: Publish Your MCP Server to PyPI & Use It
In this step-by-step tutorial, I show you how to build an intelligent OCR workflow using Mistral OCR inside n8n, the powerful open-source workflow automation platform. If you've ever wanted to automate document reading — like parsing invoices, extracting data from bank statements, or pulling text from scanned forms — this video is for you. No more manual copy-pasting. Let automation do the heavy lifting! 💪 🔍 What you'll learn in this tutorial: ✅ Mistral OCR Docs ✅ How to set up and connect Mistral OCR with n8n ✅ Uploading and parsing PDF/image documents in a workflow ✅ Extracting structured data ✅ Creating automated workflows to handle OCR tasks end-to-end ✅ Testing the flow with real-world examples ✅ Tips and tricks to scale your OCR automation 🛠️ This is a beginner-friendly tutorial, but even advanced users might pick up something new — especially if you're building tools that need document understanding or smart data capture. 👨‍💻 Whether you're an automation geek, a startup founder, or just curious about OCR + AI, you'll walk away with a ready-to-use workflow that you can plug into your stack. 👉 Like this video if it helped you 💬 Comment below if you want the full workflow or a JSON export 🔔 Subscribe for more AI + Automation content every week 💡 Want a checklist or quick setup pointers? Drop a ✅ in the comments, and I’ll share a resource to get you up and running even faster! Thanks for watching 🙌 Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #n8n #mistral #ocr
Automate Document Processing with Mistral OCR + n8n! 🚀
In this video, I walk you through building a complete MCP server and client setup that fetches Wikipedia articles and generates summaries using the Ollama model—all wrapped up in a Streamlit MCP Host! I explain every step in detail, from setting up the MCP server (named "wiki-summary") to implementing the summarization tool that first retrieves the article content and then uses Ollama to create a concise summary. ✅ Set up the MCP server with a single tool to fetch and summarize a Wikipedia article. ✅ Develop a client that connects to the server using SSE. ✅ Use Streamlit as an MCP Host that lets you input a Wikipedia URL and displays the generated summary in Markdown. If you enjoy the tutorial, please like, comment, and subscribe for more programming walkthroughs and tech tips! Enjoy the video! GitHub: https://github.com/AIAnytime/Awesome-MCP-Server Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #modelcontextprotocol #mcp #aiagents
12 - Streamlit as an MCP Host + Ollama DeepSeek MCP Server
In this tutorial, learn how to create your own MCP server and client from scratch and run everything locally. 🧿 Basics of the Model Context Protocol 🧿 Setting up a local MCP server 🧿 Creating a working MCP client 🧿 Running everything locally with examples 🧿 Tips for using MCP in real-world AI agent setups 🔧 No frameworks or complex tools – just straight-to-the-point setup with explanations that make sense. 👉 Whether building LLM-powered agents, tool integrations, or just exploring MCP— this is your starting point! 📌 Don’t forget to Like 👍, Comment 💬 your thoughts or questions, and Subscribe 🔔 for more AI dev tutorials! GitHub: https://github.com/AIAnytime/Awesome-MCP-Server Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #modelcontextprotocol #mcp #aiagents
11 - Build Your Own MCP Server & Client – Run Locally🚀
In this tutorial, I walk you through how to test, inspect, and debug MCP servers using the powerful MCP Inspector tool. Whether you're just getting started with the Model Context Protocol or looking to streamline your development workflow, this video has you covered! What you’ll learn in this video: 🟩 How to launch the MCP Inspector using uvx 🟩 Connecting to your MCP server using the UI 🟩 Exploring resources, prompt templates, and tool schemas 🟩 Debugging using the live notifications and logs pane 🟩 Tips for secure and efficient local development 💡 No prior setup required – just follow along and you’ll be up and running in minutes. If you found this helpful, don’t forget to: 👍 Like the video 💬 Comment with your thoughts or questions 🔔 Subscribe for more AI dev tutorials and deep dives! GitHub repo: https://github.com/AIAnytime/Awesome-MCP-Server Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #modelcontextprotocol #mcp #mcpinspector #ai
10 - MCP Inspector: Test and Debug your MCP Server Locally
In this video, I show you how to use the Tavily MCP Server inside n8n, with OpenRouter as the LLM backend. From setting up Tavily search and extraction to integrating everything in an automated AI workflow — it's all here. Perfect if you're building custom AI agents or want smarter web search pipelines. Let me know what you build with it in the comments! If this helped, give it a like and hit subscribe for more no-fluff AI and automation tutorials. Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #modelcontextprotocol #mcp #aiagents #tavily #n8n
9 - MCP in n8n: Use Tavily MCP Server with Open Router
In this video, we dive deep into Agent S2, the next-gen open-source autonomous agent by Simular AI! 🧠💻 ✨ What You’ll Learn: 🔹 What is Agent S2? 🔹 How to install & set it up 🛠️ 🔹 Running Agent S2 with Perplexica for web info extraction 🌐 🔹 Using Agent S2 as a backend API ⚙️ 🔹 Running Agent S2 locally to perform real-time computer operations 🖱️⌨️ Whether you're an AI enthusiast, developer, or just curious about what the future of autonomous agents looks like – this tutorial has got you covered! 🤖 🔗 GitHub Repo: https://github.com/simular-ai/Agent-S Blog: https://www.simular.ai/articles/agent-s2 💬 Drop your questions in the comments, and don't forget to like 👍, subscribe 🔔, and share 📢 if you found this helpful! Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #AgentS2 #SimularAI #OpenSourceAI #AITools #AutonomousAgents #AIProductivity #PythonAI #TechTutorial #Perplexica #WebAutomation
Agent - S2 Framework: Open Source Computer Use Agent 🚀
In this tutorial, I walk you through how to integrate Model Context Protocol (MCP) with n8n, the open-source workflow automation tool. You'll see how I use a Brave Search-powered MCP server to perform information discovery and how to build smart, context-aware workflows using n8n's powerful low-code interface. Whether you're into AI agents, automated research, or just want to level up your n8n game, this video is packed with practical insights. What you'll learn: 🟩 What is MCP (Model Context Protocol) 🟩 How to run and use an MCP server for info discovery 🟩 Step-by-step n8n workflow build with MCP integration 🟩 Using Brave Search via MCP for web data gathering 👉 Watch my previous n8n tutorial here: https://youtu.be/5_fpdm-Wo20?si=SEMd78wClpT6LoFs If you find this helpful, like, comment your questions or ideas, and subscribe for more deep dives into open-source AI, workflow automation, and MCP that makes life easier. 🙌 Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #modelcontextprotocol #mcp #ai #n8n #aiagents
8 - MCP meets n8n : Your New AI Superpower 🌐🔥
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