Claude Code MCP Servers: What They Are and How Agencies Can Use Them

If you've been using Claude Code as a standalone tool, you're only seeing half of what it can do.

MCP servers are what turn Claude Code from a smart assistant into a connected workspace. They let Claude talk directly to other tools: scrapers, search engines, workflow platforms, research tools, and file systems. No browser tabs. No copy-pasting. Live data flowing in and out of your conversations.

I've set up five MCP servers in my own workspace. Here's what they are in plain English, what they're actually useful for, and what it costs.

What Is MCP in Plain English?

MCP stands for Model Context Protocol. In simple terms, it's a way for Claude Code to connect to external tools and services.

Without MCP, Claude Code can only work with what's in your local files and what it already knows. With MCP, it can reach out to other platforms, pull in fresh data, trigger actions, and read information from tools you already use.

Each connection is called an MCP server. It's a small programme that runs on your machine and acts as a bridge between Claude Code and whatever tool it connects to. You install it, configure it with an API key, and Claude Code can start using it immediately.

Think of it like plugging peripherals into a computer. Each MCP server adds a new capability.

Five MCP Servers and What Each One Does

Here are the five I've set up and tested.

1. Apify (Creator and Competitor Scraping) Apify is a web scraping platform. The MCP server lets Claude Code run scraping jobs directly. I use it to scrape competitor Instagram and LinkedIn content. I scraped 4 creators, 10 posts each, for about 11p total.

2. n8n (Workflow Automation) n8n is a workflow automation platform. The MCP server lets Claude Code create, edit, test, and manage n8n workflows. I use it for automated client document generation.

3. Grok / xAI (X/Twitter Search and AI) Grok gives Claude Code real-time X/Twitter search and general web queries. I use x_search to find what people are saying about AI topics on X right now.

4. NotebookLM (Research Synthesis) NotebookLM lets Claude Code create notebooks, add sources, query the AI, and generate podcasts and slides. I used it to build a learning pack with 14 sources.

5. Google Drive (Read-Only File Access) Gives Claude Code read-only access to Google Drive for pulling in call transcripts and meeting notes.

How to Get Started with MCP Servers

Step 1: Choose your servers. Start with one or two.

Step 2: Install the server. Most are open-source on GitHub.

Step 3: Get an API key. Each service requires one.

Step 4: Configure .mcp.json. This config file tells Claude Code which servers are available.

Step 5: Set permissions. Add tools to your allow list.

The one thing that tripped me up: API keys need to be stored in ~/.claude/settings.json for MCP servers to read them. Putting them only in .env doesn't work.

What It Costs

Service	Pricing model	Typical cost
Apify	Pay per scrape	~0.3p per post
n8n Cloud	Monthly subscription	Free tier available
xAI / Grok	API usage	Pay per query
NotebookLM	Free	No cost
Google Drive	Free	No cost

A typical research session costs under £1.

Is This Worth Setting Up for Your Agency?

If you use Claude Code regularly and your work involves research, competitor analysis, content creation, or workflow automation, then yes.

The initial setup takes an afternoon. After that, every MCP server adds a capability you can use indefinitely. Start with the server that solves your most immediate problem.