Founder | Agentic AI...ย โขย 1m
Most people even today don't know this about MCP. I've explained it in simple way below. AI systems fail because control logic lives inside prompts. MCP moves that control outside the model, where it belongs. 1. ๐๐ถ๐ฟ๐ฒ๐ฐ๐ ๐๐ฃ๐ ๐ช๐ฟ๐ฎ๐ฝ๐ฝ๐ฒ๐ฟ ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป This is the simplest MCP setup. Step-by-step: 1. ๐๐ด๐ฒ๐ป๐ ๐ฟ๐ฒ๐ฐ๐ฒ๐ถ๐๐ฒ๐ ๐ฎ ๐๐ฎ๐๐ธ Example: โGet user payment history.โ 2. ๐๐ด๐ฒ๐ป๐ ๐๐๐ฒ๐ ๐ ๐๐ฃ MCP acts as a clean interface. 3. ๐ ๐๐ฃ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ ๐บ๐ฎ๐ฝ๐ ๐๐ผ ๐ฎ๐ป ๐ฒ๐ ๐ถ๐๐๐ถ๐ป๐ด ๐๐ฃ๐ โข Server 1 โ API 1 โข Server 2 โ API 2 4. ๐๐ฃ๐ ๐ฟ๐ฒ๐๐๐ฟ๐ป๐ ๐ฑ๐ฎ๐๐ฎ No extra logic or transformation. 5. ๐๐ด๐ฒ๐ป๐ ๐๐๐ฒ๐ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ And gives the final answer. Why use this? โข Fast to build โข Minimal complexity โข Best for ๐๐๐ฎ๐ฏ๐น๐ฒ, ๐ฒ๐ ๐ถ๐๐๐ถ๐ป๐ด ๐๐ฃ๐๐ Think of it as: ๐๐ โ ๐๐ฃ๐ โ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ________________ 2. ๐๐ผ๐บ๐ฝ๐ผ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป Instead of calling ๐ผ๐ป๐ฒ ๐๐ฃ๐, MCP combines ๐บ๐๐น๐๐ถ๐ฝ๐น๐ฒ ๐๐ฃ๐๐ ๐ถ๐ป๐๐ผ ๐ผ๐ป๐ฒ ๐๐บ๐ฎ๐ฟ๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ. Step-by-step: 1. ๐๐ด๐ฒ๐ป๐ ๐ด๐ฒ๐๐ ๐ฎ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐ ๐ฟ๐ฒ๐พ๐๐ฒ๐๐ Example: โCreate a user, assign a plan, and send a welcome email.โ 2. ๐๐ด๐ฒ๐ป๐ ๐ฐ๐ฎ๐น๐น๐ ๐ผ๐ป๐ฒ ๐ ๐๐ฃ ๐๐ผ๐ผ๐น Just one high-level command. 3. ๐ ๐๐ฃ ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ ๐ผ๐ฟ๐ฐ๐ต๐ฒ๐๐๐ฟ๐ฎ๐๐ฒ๐ ๐บ๐๐น๐๐ถ๐ฝ๐น๐ฒ ๐๐ฃ๐๐ โข API 1 โ Create user โข API 2 โ Assign plan โข API 3 โ Send email 4. ๐ ๐๐ฃ ๐ฐ๐ผ๐บ๐ฏ๐ถ๐ป๐ฒ๐ ๐ฟ๐ฒ๐๐๐น๐๐ Handles order, dependencies, and errors. 5. ๐ฆ๐ถ๐ป๐ด๐น๐ฒ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐๐ฒ๐ป๐ ๐ฏ๐ฎ๐ฐ๐ธ ๐๐ผ ๐ฎ๐ด๐ฒ๐ป๐ Why use this? โข Cleaner agent logic โข Handles ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐ โข Reusable business logic Think of it as: ๐๐ โ ๐ช๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ โ ๐ ๐ฎ๐ป๐ ๐๐ฃ๐๐ ________________ 3. ๐ ๐๐ฃ-๐๐ผ-๐๐ด๐ฒ๐ป๐ ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป MCP doesnโt just call APIs, BUT it can call ๐ผ๐๐ต๐ฒ๐ฟ ๐๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐. Step-by-step: 1. ๐ ๐ฎ๐ถ๐ป ๐๐ด๐ฒ๐ป๐ ๐ฟ๐ฒ๐ฐ๐ฒ๐ถ๐๐ฒ๐ ๐ฎ ๐๐ฎ๐๐ธ Example: โAnalyze a legal document.โ 2. ๐๐ด๐ฒ๐ป๐ ๐๐๐ฒ๐ ๐ ๐๐ฃ MCP decides this needs expert reasoning. 3. ๐ ๐๐ฃ ๐ฐ๐ฎ๐น๐น๐ ๐ฎ ๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐ ๐๐ด๐ฒ๐ป๐ โข Legal agent โข Finance agent โข Research agent 4. ๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐ ๐๐ด๐ฒ๐ป๐ ๐๐ต๐ถ๐ป๐ธ๐ ๐ฑ๐ฒ๐ฒ๐ฝ๐น๐ Uses its own tools or APIs if needed. 5. ๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐ ๐ฟ๐ฒ๐๐๐ฟ๐ป๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ Not raw data, actual reasoning. 6. ๐ ๐ฎ๐ถ๐ป ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐บ๐ฝ๐ผ๐๐ฒ๐ ๐ณ๐ถ๐ป๐ฎ๐น ๐ฎ๐ป๐๐๐ฒ๐ฟ Why use this? โข Modular AI systems โข Better reasoning quality โข Clear separation of responsibilities Think of it as: ๐๐ โ ๐ ๐๐ฃ โ ๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐ ๐๐ โ ๐ ๐๐ฃ โ ๐๐ โ ๐๐ป ๐๐ต๐ผ๐ฟ๐ โข ๐๐ถ๐ฟ๐ฒ๐ฐ๐ ๐๐ฃ๐ ๐ช๐ฟ๐ฎ๐ฝ๐ฝ๐ฒ๐ฟ โ Simple, fast, direct โข ๐๐ผ๐บ๐ฝ๐ผ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ โ One call, many APIs โข ๐ ๐๐ฃ-๐๐ผ-๐๐ด๐ฒ๐ป๐ โ Delegate thinking to experts People often don't know this but you should know: โข AI decides what to do. โข MCP decides where it goes. โข APIs or agents decide how itโs done. โ Repost for others in your network so they can understand MCP better.

Founder | Agentic AI...ย โขย 5m
How Multi-Agent AI systems actually work? Explained in a very simple way. Read below: -> ๐ง๐ต๐ฒ ๐ ๐ฎ๐ถ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ The main ๐๐ ๐๐ด๐ฒ๐ป๐ is the ๐ผ๐ฟ๐ฐ๐ต๐ฒ๐๐๐ฟ๐ฎ๐๐ผ๐ฟ. It has several capabilities: โข ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ โ Stores knowledge o
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Founder | Agentic AI...ย โขย 1m
4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. ๐ ๐๐ฃ (๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ผ๐ป๐๐ฒ๐ ๐ ๐ฃ๐ฟ๐ผ๐๐ผ๐ฐ๐ผ๐น) โข User submits a request: โSummarize todayโs Slack messages.โ โข MCP Client receives input: Interface b
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12 MCP servers every person should know. I've explained each one in a simple way. 1. ๐๐ถ๐น๐ฒ ๐ฆ๐๐๐๐ฒ๐บ ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ โข Gives AI access to your local files. โข It can ๐ฟ๐ฒ๐ฎ๐ฑ, ๐๐ฟ๐ถ๐๐ฒ, ๐ฎ๐ป๐ฑ ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ files on your computer (under safe per
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๐๐ ๐ถ๐ ๐๐๐ฟ๐ป๐ถ๐ป๐ด ๐ฒ๐๐ฒ๐ฟ๐ ๐ฐ๐๐ฟ๐ถ๐ผ๐๐ ๐ฝ๐ฒ๐ฟ๐๐ผ๐ป ๐ถ๐ป๐๐ผ ๐ฎ ๐บ๐ผ๐ฑ๐ฒ๐ฟ๐ป-๐ฑ๐ฎ๐ ๐ฝ๐ผ๐น๐๐บ๐ฎ๐๐ต. Want to code? AI walks you through it. Trying to grasp finance? AI explains it step by step. Curious about history? AI becomes your p
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AI systems will fail if these 2 layers are mixed. I've explained step by step below. 1. ๐๐ ๐๐ฎ๐๐ฒ๐๐ฎ๐ How modern AI systems manage intelligence safely. Step-by-step: โข ๐๐ป๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐: User sends a prompt. โข ๐๐ฎ๐ฐ๐ต๐ฒ ๐๐ต๐ฒ๐ฐ
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Founder | Agentic AI...ย โขย 1d
AI systems will fail if these 2 layers are mixed. I've explained step by step below. 1. ๐๐ ๐๐ฎ๐๐ฒ๐๐ฎ๐ How modern AI systems manage intelligence safely. Step-by-step: โข ๐๐ป๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐: User sends a prompt. โข ๐๐ฎ๐ฐ๐ต๐ฒ ๐๐ต๐ฒ๐ฐ
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Founder | Agentic AI...ย โขย 6m
Simple explanation of Traditional RAG vs Agentic RAG vs MCP. 1. ๐ง๐ฟ๐ฎ๐ฑ๐ถ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฅ๐๐ (๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น-๐๐๐ด๐บ๐ฒ๐ป๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป) โข ๐ฆ๐๐ฒ๐ฝ 1: ๐จ๐๐ฒ๐ฟ ๐ฎ๐๐ธ๐ ๐ฎ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป. Example: โ๐๐ฉ๐ข๐ต ๐ช๐ด ๐ต๐ฉ๐ฆ ๐ค๐ข๐ฑ๐ช๏ฟฝ
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Founder | Agentic AI...ย โขย 9d
Most people even today don't know these skills. I've explained in very simple below. 1. ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด Learning how to give clear, structured, and goal-driven instructions to AI models to get accurate and useful outputs. Eg: Ch
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Founder | Agentic AI...ย โขย 11d
Most people use basic RAG but miss crucial ones. I've explained each in very simple below. 1. ๐ฆ๐ฒ๐พ๐๐ฒ๐ป๐๐ถ๐ฎ๐น ๐ช๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐ (๐๐ฎ๐๐ถ๐ฐ ๐ฅ๐๐ ๐๐น๐ผ๐) Everything happens in a fixed order, step by step. Step-by-step: 1. ๐จ๐๐ฒ๐ฟ ๐ฎ๐๐ธ๐
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Founder | Agentic AI...ย โขย 5m
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