You built an MCP server. Now what? It needs to be reachable 24/7 so your AI agent can call it anytime. It needs low latency so tool calls feel instant. It needs auth so random people can't invoke your tools. And it needs to stay up without you babysitting it.
Most MCP tutorials stop at "run it locally with npx." That works for development but falls apart in production. Your laptop goes to sleep. Your VPN disconnects. Your agent stops working at 2am when you need it most.
Cloudflare Workers deploy globally with sub-50ms cold starts. Good for simple MCP servers with no heavy dependencies.
Pros: Fast, cheap ($5/mo for millions of requests), global edge deployment.
Cons: Limited runtime (no Node.js APIs, 10ms CPU limit on free tier), you manage code and deploy pipeline, no built-in MCP tooling.
Traditional PaaS hosting. Deploy a Docker container or Node.js app.
Pros: Full Node.js environment, familiar deploy flow, reasonable pricing (~$5-10/mo).
Cons: You write and maintain the server code, handle auth yourself, manage deployments, cold starts on free tiers (30s+ on Render).
Maximum control. Run your MCP server on a VM you manage.
Pros: Full control, no platform limits, predictable pricing.
Cons: You manage everything (OS updates, SSL certs, process management, monitoring, scaling). Overkill for most MCP servers.
DataFaucet hosts your MCP server for you. No code to deploy, no infrastructure to manage.
Pros: Zero infrastructure, auto-SSL, auth built in, dashboard with usage metrics, works in 60 seconds.
Cons: Less customizable than self-hosted, dependent on DataFaucet staying up (99.9% SLA on paid plans).
| Requirement | Why It Matters |
|------------|---------------|
| Always-on | Agent calls tools at any time, not just during your work hours |
| Low latency | Tool calls should complete in <500ms for good agent UX |
| Authentication | Prevent unauthorized access to your API tools |
| HTTPS | Required by most MCP clients for remote servers |
| Monitoring | Know when your server is down before your agent fails |
| No cold starts | First call shouldn't take 10+ seconds to respond |
If you choose to self-host, you need:
That's a weekend project minimum. For a production MCP server serving real agent traffic, expect ongoing maintenance.
DataFaucet handles all of the above automatically:
# Your server is live immediately after deploy
claude mcp add my-tools https://datafaucet.dev/api/mcp/your-server-id| Hosting | Monthly Cost | Setup Time | Maintenance |
|---------|-------------|-----------|-------------|
| Cloudflare Workers | $0-5 | Hours | Medium |
| Railway/Render | $5-10 | 30min-1hr | Low |
| VPS (EC2/DO) | $5-20 | Half day | High |
| DataFaucet Free | $0 | 60 seconds | None |
| DataFaucet Pro | $29 | 60 seconds | None |
Self-host when:
Use DataFaucet when:
If you're running an MCP server locally with npx and want to move to hosted:
Turn any API into tools your AI agent can call. No code required.
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