# Top 5 MCPs for 2026 | Best Model Context Protocols

## Метаданные

- **Канал:** Zapier
- **YouTube:** https://www.youtube.com/watch?v=ClN7eViudxU
- **Дата:** 14.05.2026
- **Длительность:** 2:23
- **Просмотры:** 51
- **Источник:** https://ekstraktznaniy.ru/video/50741

## Описание

Uploaded by: David Quintanilla (david.quintanilla@zapier.com)

Discover the top 5 MCPs (Model Context Protocols) that are transforming how AI models interact with external data and tools. In this video, we break down the best MCPs available in 2026, explaining what each one does and why developers are using them. Model Context Protocols are essential for building more powerful and flexible AI applications, and these five stand out for their functionality, reliability, and real-world applications.

Whether you're a developer looking to integrate MCPs into your workflow or simply curious about the latest AI tools, this guide covers everything you need to know. We'll walk through practical use cases, features, and how each MCP compares to the others. By the end, you'll understand which MCPs are worth exploring for your next project.

Timestamps:
0:00 - Introduction
0:45 - MCP #1
2:15 - MCP #2
3:45 - MCP #3
5:20 - MCP #4
6:50 - MCP #5
8:30 - Comparison & Recommendations

Learn

## Транскрипт

### Introduction []

Do you wish your chatbot could do more than just answer questions? With model context protocols or MCPs, you can connect all of your apps to your chatbot to make it a powerhouse assistant. It's the universal adapter that finally gives AI hands to use in your real world tools. Instead of just chatting, your chatbots can now search your files, manage your GitHub, and even automate your work through thousands of apps. If you want to turn your AI into a true personal assistant, here are the five best MCP servers you can set up in minutes. First is Zap Your MCP. Think of this one like giving your AI employee access to all of your business apps. It connects tools like Gmail, Slack, Google Sheets, Notion, and thousands more. So instead of your chatbot just telling you what to do, it can actually do the work

### MCP #1 [0:45]

for you. It can send emails, update spreadsheets, create tasks, or even move information between apps automatically. Second is file system MCP. This gives your AI direct access to files and folders on your computer. So instead of manually digging through your desktop trying to find things, your chatbot can search folders, read files, organize documents, and interact with your local systems automatically. This is one of the MCPs that really makes AI feel like it has hands on your actual computer. Third is GitHub MCP. This one is massive for developers. Instead of just answering coding questions, your AI can actually inspect repositories, review code, search projects, manage pull requests, and help navigate entire code bases. This is what starts turning AI from a coding chatbot into an actual AI software engineer. Fourth is Google Drive MCP. This lets your AI search through your files, PDFs, spreadsheets, and documents stored in Google Drive. Instead of digging through folders yourself, you can simply ask your chatbot to find contracts, summarize PDFs, or pull information from your files automatically. And finally, browserbased or playright MCP. This is where AI starts feeling futuristic. These MCP servers let your chatbot actually use websites like a real person. It can open pages, click buttons, fill out forms, and interact with web apps automatically. So instead of just telling you how to do something online, your AI can actually go do it for you. MCPs are turning AI from something that just gives answers into something that can actually do things for you. With these five AI tools

### MCP #2 [2:15]

you'll become a productivity powerhouse. And if you want more videos on AI tools, automation, and business tech, hit the subscribe button below.