🔐 Control Cloudflare Infrastructure Using AI + MCP (with Python Example)

Introduction

Cloudflare recently launched 13 remote MCP servers—a massive leap toward making AI not just smart, but actually useful in real-world infrastructure management.

In this post, I’ll show you:

• What MCP (Model Context Protocol) is.

• What Cloudflare is doing with it.

• How you can interact with your Cloudflare infrastructure via Python and MCP.

• A practical example to fetch DNS records for a domain.

🤖 What is MCP?

MCP (Model Context Protocol) is an emerging standard that allows LLMs (like Claude or ChatGPT) to interact with external tools in a structured and secure way.

Think: ChatGPT that can talk to your database, cloud, GitHub, or even smart home devices—with permission.

Cloudflare’s MCP servers expose core services (like DNS, WAF, analytics, Workers) as AI-accessible APIs that tools like Claude, Cursor, or your own Python scripts can call.

☁️ What Cloudflare Offers via MCP

Cloudflare’s MCP endpoints currently support:

• DNS records

• Workers deployment

• Security rules (like WAF)

• Analytics

• Load balancer configs

• Firewall rules

• Bot management

• Cache purging

⚙️ Example: List DNS Records via Python

Let’s say you want to list all DNS records for your domain using Cloudflare’s MCP server.

Prerequisites:

• Python 3.8+

• Cloudflare account + API Token with Zone:Read

• requests library (pip install requests)
  

import requests

MCP_ENDPOINT = "https://mcp.cloudflare.com/dns"
API_TOKEN = "your_cloudflare_api_token_here"
ZONE_ID = "your_zone_id_here"

def get_dns_records():
    headers = {
        "Authorization": f"Bearer {API_TOKEN}",
        "Content-Type": "application/json"
    }

    response = requests.get(
        f"{MCP_ENDPOINT}/zones/{ZONE_ID}/dns_records",
        headers=headers
    )

    if response.status_code == 200:
        records = response.json().get("result", [])
        print("DNS Records:")
        for r in records:
            print(f"{r['type']} {r['name']} -> {r['content']}")
    else:
        print("Error:", response.status_code, response.text)

get_dns_records()

💡 Why This Matters

We’ve seen AI generate code. But now, it can execute real infrastructure tasks safely:

• AI can configure security rules.

• AI can deploy edge functions.

• AI can monitor traffic and anomalies.

It’s the missing bridge between intelligence and action—and Cloudflare’s MCP support is one of the first real implementations.

Conclusion

The combination of Cloudflare + MCP is opening new doors for A*I-assisted DevOps, security, and automation.*

I’m excited to see what’s next. Imagine saying:

"Hey Claude, redirect /login to /auth and purge the cache for /checkout."

…and watching it just happen—securely, reproducibly, and fast.

🔗 Resources:

Cloudflare MCP Server Announcement

Python Cloudflare SDK (for deeper use)