Cloudflare API for AI Agents

CDN, DNS, and edge computing platform

Cloudflare provides APIs for managing DNS, CDN, Workers, R2 storage, and security settings. AI agents can use Cloudflare to manage infrastructure, deploy edge functions, configure caching, and monitor security.

What AI agents can do with Cloudflare

Structured actions an AI agent can execute through the Cloudflare API

Action

Description

Inputs

Outputs

createDNSRecord

Add a DNS record to a zone

zone_id, type, name, content, ttl

record_id, name, type

deployWorker

Deploy a Cloudflare Worker

script_name, script_content, routes

id, etag, routes

purgeCache

Purge cached content

zone_id, files, tags, purge_everything

id, success

listZones

List DNS zones

name, status, per_page

zones[], total_count

Use cases for Cloudflare + AI agents

DNS management automation
Edge function deployment
Cache management and purging
Security configuration
Domain setup and migration

How to connect Cloudflare to an AI agent

1Get your Cloudflare API token
2Generate an AgentSpec for infrastructure actions
3Define DNS, Worker, and cache actions
4Publish for discovery
5Use scoped API tokens for each action type

Best practices

✓Use scoped API tokens instead of global API keys

✓Include reasoning docs about DNS propagation times

✓Test Worker deployments in a staging environment

✓Be cautious with purge_everything — prefer targeted purges

✓Monitor Workers usage to stay within free tier limits

Frequently asked questions

Can AI agents manage Cloudflare DNS?+

Yes. Agents can create, update, and delete DNS records through structured actions. Use zone-scoped API tokens for security.

How do agents deploy Cloudflare Workers?+

Through the deployWorker action with script content and route configuration. The agent can update edge functions without accessing the dashboard.

Should agents purge the entire Cloudflare cache?+

Avoid purge_everything unless necessary. Use targeted purges by URL or cache tag. Include reasoning docs explaining the impact of cache purging on performance.