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Want to automate your workflow like a pro? 🤖💡 In this video, I’ll show you how to set up MCP servers using Google Gemini 2.5 Pro for next-level automation! 🛠️ Whether you’re coding AI agents, apps, games, or tools, this free & powerful method will change the way you work! 🚀💻
✅ What You’ll Learn in This Video: 🔹 Setting up MCP servers with Gemini 2.5 Pro
🔹 Visual Studio Code + Google API Key setup
🔹 Using Client Extension vs Cursor for automation ⚡
🔹 Creating AI-powered workflows with MCP integrations
🔹 Boosting efficiency with Perplexity AI, OpenRouter & more!
00:00 Introduction to Building MCP Servers with Google Gemini 2.5 Pro
00:25 Setting Up Visual Studio Code and API Key
01:25 Installing and Configuring Client Extension
01:52 Comparing Client and Cursor for MCP Setup
02:19 Benefits of MCP Servers
03:24 Setting Up Perplexity Research with API Key
05:37 Troubleshooting and Tips for MCP Setup
06:53 Exploring Additional MCP Server Integrations
10:27 Final Tips and Community Resources
👨💻 Whether you’re a beginner or an advanced developer, this step-by-step guide will help you leverage AI automation like never before!
💬 Got questions? Drop them in the comments! 🚀 Don’t forget to LIKE 👍, SUBSCRIBE 🔔, and SHARE 📢 for more automation hacks!
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