MCP Servers for Marketers: Connect Your AI to Everything
A practical guide to Model Context Protocol servers - the universal adapters that let your AI assistant control HubSpot, Google Ads, and more.
You've probably had this experience: you're working in Claude or ChatGPT and you think, "It would be amazing if this could just do the thing instead of telling me how to do it." Model Context Protocol (MCP) is the technology that makes that real.
What Is MCP?
MCP is a universal adapter between AI assistants and software tools. Think of it like USB-C for AI - a standardized way for an AI model to connect to and control external applications.
Without MCP, you copy data from HubSpot, paste it into Claude, ask a question, then manually execute the answer back in HubSpot. With MCP, Claude can read your HubSpot data directly, analyze it, and take action - all in one conversation.
MCP Servers Available Today
The ecosystem is growing fast. Here are the servers most relevant to marketing teams:
| Server | What It Does |
|---|---|
| HubSpot | Read/write contacts, deals, companies. Query marketing analytics. |
| Google Ads | Pull campaign performance, adjust bids, pause/enable campaigns. |
| Asana | Create tasks, update projects, manage team workflows. |
| SEMRush | Pull keyword rankings, competitor analysis, site audits. |
| Slack | Send messages, read channels, search conversation history. |
| Gmail | Read emails, draft responses, search threads. |
| n8n | Trigger workflows, check execution status, manage automations. |
| Bricks Builder | Generate WordPress page layouts from natural language descriptions. |
Three Real Examples
1. Weekly Team Review Prep
Every Monday morning, I ask Claude to prepare my team review. With MCP servers connected to HubSpot, Google Analytics, and Asana, one prompt generates:
- Pipeline summary with deal stage changes from last week
- Top-performing content by traffic and conversions
- Overdue tasks and blocked projects
- Suggested agenda items based on the data
That used to take 45 minutes of tab-switching and spreadsheet wrangling. Now it's a single conversation.
2. Bricks Builder MCP Server
This one is specific but powerful. The Bricks Builder MCP server lets Claude generate WordPress page layouts from plain English descriptions. Instead of dragging and dropping elements in the visual builder, you describe what you want:
"Create a landing page with a hero section featuring a headline, subhead, and CTA button. Below that, a three-column feature grid with icons. Then a testimonial carousel. Footer with newsletter signup."
Claude generates the Bricks JSON structure, which you import directly. It handles responsive breakpoints, spacing, and typography based on your existing theme settings.
3. n8n as an Orchestration Hub
Here's where it gets interesting: n8n has its own MCP server, which means Claude can trigger, monitor, and modify your automation workflows. Combined with other MCP servers, this creates a meta-automation layer:
- "Check if this week's email campaign has been triggered. If not, run it now."
- "Pull last week's Reddit lead gen results and cross-reference with HubSpot contacts."
- "Show me which workflows failed in the last 24 hours and suggest fixes."
Getting Started
- Use Claude Desktop or VS Code with GitHub Copilot - these support MCP natively.
- Start with one server - pick the tool you use most (probably HubSpot or Google Ads).
- Configure in settings - each MCP server requires API credentials in a JSON config file.
- Test with read-only queries first - "Show me my top 10 deals by value" before "Update the deal stage for Company X."
The configuration is straightforward. In Claude Desktop, you add servers to claude_desktop_config.json:
{
"mcpServers": {
"hubspot": {
"command": "npx",
"args": ["-y", "@hubspot/mcp-server"],
"env": {
"HUBSPOT_ACCESS_TOKEN": "your-token-here"
}
}
}
}
The Bigger Picture
MCP is still early. Server quality varies, documentation is inconsistent, and some integrations are community-maintained with limited support. But the trajectory is clear: AI assistants are becoming the interface layer for all your tools.
Marketers who learn to work this way now - treating AI as a connected co-worker rather than a fancy search engine - will have a significant advantage as the ecosystem matures.
Edward Chalupa is a digital marketing specialist and founder of Whtnxt, a digital marketing and automation consultancy. Connect with him on LinkedIn or explore more at echalupa.com.