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Koyeb vs Cloudflare MCP

KoyebCloudflare MCP

Bottom line: Koyeb for aI startups deploying inference; Cloudflare MCP for developers deploying remote MCP servers.

KoyebKoyeb

Serverless cloud with scale-to-zero GPUs for AI inference and apps

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Cloudflare MCPCloudflare MCP

Build, deploy, and host remote MCP servers on Cloudflare's edge with OAuth built in.

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Votes00
PricingFreemiumFreemium
CategoryAi InfrastructureMcp
Tags
serverlessgpuinferencescale-to-zerodeployment
mcpedgeserverlesshostingoauth
Best for
  • AI startups deploying inference
  • Developers wanting autoscaling
  • Cost-conscious GPU users
  • Developers deploying remote MCP servers
  • Teams wanting edge-scale hosting with OAuth
  • Cloudflare platform users
Pros
  • Scale-to-zero saves idle GPU cost
  • Per-second billing
  • Competitive H100 pricing
  • Broad GPU range up to B200
  • Global multi-region deployments
  • Purpose-built for remote MCP servers
  • Built-in OAuth and per-user permissions
  • Durable Objects enable stateful servers
  • Tracks the latest MCP spec closely
  • Global edge scale and reliability
Cons
  • Flat plan fee on top of usage
  • Not a full hyperscaler feature set
  • GPU availability can vary
  • Less mature ecosystem than AWS/GCP
  • Enterprise controls still maturing
  • Ties you to Cloudflare's platform and abstractions
  • Costs scale with Workers/Durable Objects usage
  • Enterprise portal and reference architecture are newer
  • Requires familiarity with Cloudflare's developer stack
  • Not a drop-in for non-Cloudflare hosting

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