🚀 Follow me to stay... • 1m
🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agentic workflows. ✅ API vs MCP - Similarities: 1️⃣ Client-Server model 2️⃣ Acts as an abstraction layer 3️⃣ Simplifies integration ⚡ Where MCP wins: 1️⃣ Purpose-built for AI – Not just general-purpose like APIs 2️⃣ Self-discovery – MCP: clients auto-adapt to server functions API: If endpoint changes client needs to be updated by developer. 3️⃣ Standardized – MCP: One protocol, no custom endpoints or payloads API: different endpoints / parameter formats / authentication schemes 💡 Key Takeaway 🔄 APIs helped us connect systems. MCP helps AI understand and adapt them. Resource: https://lnkd.in/eqQgkgaW #APIvsMCP #MCP #ModelContextProtocol #AI #LLM #APIs #AIagents #MachineLearning #GenerativeAI #LangChain #Anthropic
Software Engineer | ... • 7m
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
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🔧 GitOps Just Got Smarter — Meet Argo CD MCP Server + AI 93% of teams now use GitOps. But how many can talk to it? Insertlines Technologies introduces the Argo CD MCP Server-an AI-powered extension that lets you interact with Argo CD using natural
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