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5 MCP Servers I Would Install Before Building an AI Agent

6 min read5 days ago

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Building an AI agent is easier than it used to be. You can connect a model to a few tools, give it instructions, and then let it handle tasks.

But there’s one problem. What if your agent needs to search the web? What if it needs to remember something from yesterday? What if it needs to work with a database or figure out why it keeps making mistakes?

That’s where MCP servers come in. They let AI applications connect to external tools and data without requiring you to build every integration yourself.

I’ve already covered some popular MCP servers, but this time I wanted to look at five that solve different problems you might face when building an AI agent.

So here are five MCP Servers to solve this problem:

1. Exa MCP Server

Your AI model knows a lot of things, but it doesn’t automatically know everything happening on the internet right now, and sometimes, you don’t want an answer based on what the model remembers. You want it to find the information itself.

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Arham Ali
Arham Ali

Written by Arham Ali

Software developer building AI apps, automation tools, and web scrapers. I share real code, freelance lessons, and practical solutions to real coding problems.

Python in Plain English
Python in Plain English

Published in Python in Plain English

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