#Mcp

RAG vs MCP — most people confuse these two. They’re NOT competitors. 👉 RAG = reads your data 👉 MCP = acts on live systems RAG pulls from docs (policies, PDFs, knowledge base) and gives grounded answers. MCP connects to real systems (APIs, DBs) to fetch live data or take actions. Example: “What’s the return policy?” → RAG “Is my order eligible?” → MCP 👉 Real systems use BOTH. Rule: Know → RAG Do → MCP Production → Both Save this — you’ll need it. #aiengineering #systemdesign #rag #mcp #backenddevelopment

Wir haben lange darauf gewartet, dass KI-Modelle nicht mehr nur in ihrem eigenen Fenster leben 🪟, sondern wirklich mit unseren Tools interagieren können. Das Model Context Protocol von Anthropic könnte genau diese Brücke sein 🌉. Es ist ein offener Standard, der es Entwicklern erlaubt, eine Schnittstelle zu bauen, die dann überall funktioniert 🛠️. Ob Claude Desktop oder andere Tools.. plötzlich fließen die Daten einfach, statt manuell kopiert zu werden 🌊. Es fühlt sich an, als würde das Ökosystem endlich erwachsen werden 🌱. Nutzt ihr schon Tools, die MCP unterstützen? 🧐 #mcp #anthropic #modelcontextprotocol #claude #claudedesktop #zededitor #linear #github #postgres #googlemaps #apis

ChatGPT can write you an essay. But can it read your Google Drive? Check your calendar? Update your Slack? Not without MCP. The Model Context Protocol is the invisible standard that’s turning chatbots into agents that can actually do things. Think of it as USB-C for AI — one universal plug that connects any AI model to any tool. Before MCP, connecting an AI to your tools meant building custom code for every single combination. 5 tools x 3 AI models = 15 separate integrations. Every time you switched AI providers, you rebuilt everything. MCP fixes this. Build one connection and it works with Claude, ChatGPT, Gemini, and anything else that supports the protocol. Created by Anthropic in November 2024 and now adopted by OpenAI and Google. Donated to the Linux Foundation in December 2025. Fully open source. This is the protocol that makes AI agents possible. And almost nobody outside of developers knows it exists. Now you do. Part 6 of the AI explainer series. #AIExplained #MCP #AIAgents #HowAIWorks #modelcontextprotocol

Designing Intelligent AI Architectures: MCP + RAG + Agent Skills Modern AI systems are no longer just about models—they’re about orchestration, context and action. This architecture brings together Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) and Agent Skill frameworks to enable scalable, tool-aware and context-rich AI applications. At Jaiinfoway (www.jaiinfoway.com), we focus on building production-grade AI systems that seamlessly integrate data retrieval, decision-making and execution layers. 🔹 Key Technical Highlights: • MCP enables dynamic server/tool selection with structured context routing. • RAG pipelines ensure low-latency semantic retrieval using vector embeddings. • Vector databases optimize similarity search with dense numerical indexing. • Agent Skill layer abstracts tool execution (Python, Docker, APIs, Shell). • Skill Manager enables dynamic skill discovery, retrieval and orchestration. • LLMs act as reasoning engines across all layers (context + tools + actions). • Event-driven notifications and async request handling improve scalability. • Modular architecture ensures extensibility across enterprise systems. This is how next-gen AI moves from generation → intelligence → execution. #ArtificialIntelligence #GenerativeAI #RAG #MCP #AIArchitecture #MachineLearning #Jaiinfoway

📢 Big news for developers! The #AmazonQ Developer CLI just added Model Context Protocol (#MCP) support! What this means for you: • Connect to MCP tools with pre-built AWS integrations • Use any MCP Servers supporting stdio • No custom integration code required Once integrated, Q Developer will provide even more context-aware responses. Try our free tier today! ⭐ Learn more with the link in bio 🔗

5 MCP servers that make Claude Code actually dangerous 🤖⚡ 1️⃣ Notion — Claude reads, writes & organizes your docs without you lifting a finger 2️⃣ Supabase — query your database, manage tables, and build backends through conversation 3️⃣ n8n — trigger automations and workflows directly from your AI agent 4️⃣ Nano Banana — lightweight local tools that keep your agent fast & offline-ready 5️⃣ Playwright — Claude browses the web, fills forms, and tests your UI like a real user This is what it looks like when your AI agent can actually do things — not just talk about them. Save this for when you’re setting up your next Claude Code project 👇 #claudecode #mcp #aiagents #aiautomation #buildwithai

RAG vs MCP — most people confuse these two. They’re NOT competitors. 👉 RAG = reads your data 👉 MCP = acts on live systems RAG pulls from docs (policies, PDFs, knowledge base) and gives grounded answers. MCP connects to real systems (APIs, DBs) to fetch live data or take actions. Example: “What’s the return policy?” → RAG “Is my order eligible?” → MCP 👉 Real systems use BOTH. Rule: Know → RAG Do → MCP Production → Both Save this — you’ll need it. #AIEngineering #SystemDesign #RAG #MCP #backenddevelopment

Comment ‘GUIDE’ if you want the step by step on getting this rolling 🦅 Quick summary of what it covers: What they are: Meta uses the Model Context Protocol ( #MCP ) to bridge your AI tool ( #Claude or #ChatGPT ) directly to the Meta Marketing API. You manage campaigns through natural language instead of clicking through Ads Manager. What you can do with it: - Pull comprehensive reporting - Create and manage campaigns - Manage product catalogs - Run Pixel/signal diagnostics Setup: Connect the MCP server URL (mcp.facebook.com/ads) in Claude or ChatGPT, authenticate your ad account via OAuth, and you’re running prompts against your live ad data. The guide includes prerequisites, step-by-step setup, best practices, and common mistakes to avoid. All sourced from Meta’s official docs so you know you are setting it up right 🤫😎 #claudecode #aiagents

i thought the figma people were scamming but a meta prompt changed everything thanks @askcatgpt it did burn through my humble claude pro weekly credits lol #figmadesign #claudecode #artdirector #mcp #standaretopost @stanforcreators

claude is insane for trading using this MCP and @polymarket #softwareengineer #mcp #claudeai #aiagents #llm

Comment “API” below and I’ll send you the full setup guide. The tool is called Proxima. It has an MCP server that connects all your free accounts straight into Cursor, Antigravity or VS code. You paste one config into your editor and all four models are live. Send one prompt, all of them answer at the same time, you pick the best response and keep building. Every idea you kept putting off, every project you thought was too expensive to experiment with, you can now just go and build it freely with this. #vscode #proxima #claude #mcp #ai

클로드 코드로 피그마 일 시키는 제일 쉬운 방법 claude code에 figma mcp 연결하기 (figma 무료에서도 가능) 솔직히 이걸 쇼츠로 푸는게 맞나 100번 고민했는데 문의하시는 분들이 많아서 올려봅니다. 1️⃣ mcp.metadata.co.kr 에서 앱 다운로드 2️⃣ setting에서 claude code용 코드 복사 3️⃣ claude code 채팅 또는 터미널에 붙여 넣기 +talk to figma mcp연결해달라 하기 4️⃣다시 앱으로 가서 ‘start server’누르기 5️⃣figma에서 ‘talk to figma mcp’플러그인 실행 Connect 누르고 채널코드 복사 6️⃣ claude code에 코드 넣고 연결해달라고 하기 플러그인은 켜둔채로 둬야 작동하는데 한 번 연결해두면 Design to code, 어노테이션 채우기, 스왑인스턴스, 더미 텍스트 채우기 등 40가지 작업 자동화 할 수 있어요 Figma devmode mcp와는 또 다른거라 Figma 무료 버전에서도 쓸 수 있으니 꼭 사용해보세요! mcp연결 앱은 아래 링크에서 누구나 무료로 다운로드 받으실수 있어요! mcp.metadata.co.kr #클로드코드 #claudecode #figmamcp #talktofigmamcp #mcp