@quranhakim20: 💗

🍁آل قران🍁
🍁آل قران🍁
Open In TikTok:
Region: PK
Tuesday 25 August 2026 15:10:00 GMT
503
222
5
1

Music

Download

Comments

ajwadalajwad
Habibi Barber Shop :
🥰🥰🥰
2026-08-29 08:52:57
0
jawadkhan9099
Jawadahmad :
🥰🥰🥰
2026-08-26 22:38:49
0
vbyz.kanyi
Vbyz Kanyi :
🥰🥰🥰
2026-08-27 11:02:54
0
963_2026
وأُزْلِفتِ الْجنَّة للْمُتّقين :
سبحان الله الحمد لله لا إله إلا الله الله أكبر أستغفر الله
2026-08-25 16:36:17
0
To see more videos from user @quranhakim20, please go to the Tikwm homepage.

Other Videos

4 AI apps. 5 tools. That's 20 custom integrations. ⚡ With MCP it's 9. That's the entire pitch, and it's arithmetic, not marketing 👇 🔴 WITHOUT MCP Every AI app needs a bespoke connector for every tool. Your IDE needs a Postgres integration. Your chat app needs its own Postgres integration. Your agent needs a third one. 4 × 5 = 20 things to build, test, secure and maintain. Add one tool → build 4 more. Add one app → build 5 more. 🟢 WITH MCP One protocol in the middle. Each app speaks MCP once. Each tool exposes MCP once. 4 + 5 = 9. Add one tool → build 1 more. Add one app → build 1 more. M × N becomes M + N. That's the whole thing. 🧩 SO WHAT IS IT ACTUALLY An open protocol that standardises how an AI app connects to your systems — databases, APIs, file systems, internal tools. The client speaks MCP. The server speaks your system. Neither has to know anything about the other. 👀 The one nobody says: look at the arrows. They point both ways. Most MCP explainers draw one-way arrows, which quietly implies this is just retrieval — a fancier way to fetch documents. It isn't. The server can return live data AND take actions: update a record, open a PR, send the message. That's the difference between context and capability, and it's why MCP matters more than another RAG connector. 🎯 The rule: if you're writing the same integration twice for two different AI apps, you're the reason MCP exists. 📸 Screenshot the 20 vs 9. It's the fastest way to explain this to your team. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #MCP #modelcontextprotocol #AIagents #AIengineering #anthropic
4 AI apps. 5 tools. That's 20 custom integrations. ⚡ With MCP it's 9. That's the entire pitch, and it's arithmetic, not marketing 👇 🔴 WITHOUT MCP Every AI app needs a bespoke connector for every tool. Your IDE needs a Postgres integration. Your chat app needs its own Postgres integration. Your agent needs a third one. 4 × 5 = 20 things to build, test, secure and maintain. Add one tool → build 4 more. Add one app → build 5 more. 🟢 WITH MCP One protocol in the middle. Each app speaks MCP once. Each tool exposes MCP once. 4 + 5 = 9. Add one tool → build 1 more. Add one app → build 1 more. M × N becomes M + N. That's the whole thing. 🧩 SO WHAT IS IT ACTUALLY An open protocol that standardises how an AI app connects to your systems — databases, APIs, file systems, internal tools. The client speaks MCP. The server speaks your system. Neither has to know anything about the other. 👀 The one nobody says: look at the arrows. They point both ways. Most MCP explainers draw one-way arrows, which quietly implies this is just retrieval — a fancier way to fetch documents. It isn't. The server can return live data AND take actions: update a record, open a PR, send the message. That's the difference between context and capability, and it's why MCP matters more than another RAG connector. 🎯 The rule: if you're writing the same integration twice for two different AI apps, you're the reason MCP exists. 📸 Screenshot the 20 vs 9. It's the fastest way to explain this to your team. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #MCP #modelcontextprotocol #AIagents #AIengineering #anthropic

About