Every MCP server needs to run somewhere. You have two fundamental options:
Both deliver the same result: an SSE endpoint that MCP clients can call. The tradeoffs are in everything around that endpoint.
Hosted: Minutes. Capture API traffic, click deploy, get an endpoint URL. No infrastructure decisions.
Self-hosted: Hours to days. Choose a hosting platform, configure environment variables, set up auth, handle SSL certificates, configure CORS, deploy, and verify the endpoint responds correctly.
Winner: Hosted, by a wide margin. Self-hosted requires infrastructure knowledge that most teams connecting business tools to AI don't have or want to invest in.
Hosted: Zero. The provider handles uptime, scaling, certificate renewal, and runtime updates. If the source API changes its authentication flow, the hosted service handles re-auth.
Self-hosted: Ongoing. You monitor uptime, rotate certificates, update dependencies, patch security vulnerabilities, and handle auth token expiration. If you forget, the server silently stops working.
Winner: Hosted. The maintenance tax on self-hosted servers compounds. One server is manageable. Ten servers across different tools becomes a part-time job.
Hosted: Your API credentials live on the provider's infrastructure. You trust their security posture. Good providers encrypt at rest, isolate tenants, and audit access.
Self-hosted: Credentials stay on your infrastructure. You control the security perimeter entirely. For regulated industries or classified data, this may be required by policy.
Winner: Depends on your threat model. Regulated industries (healthcare, finance, government) may require self-hosted. For most teams, hosted providers with SOC 2 compliance offer adequate security with less operational burden.
Hosted: Subscription pricing. DataFaucet: free for 3 servers, $29/month for unlimited. Composio: usage-based. Costs are predictable and include infrastructure.
Self-hosted: Compute costs (VPS, containers, serverless functions) plus your engineering time. A single server on Railway costs ~$5/month in compute, but the engineering time to build, deploy, and maintain it costs far more.
Winner: Hosted for small-to-medium deployments. Self-hosted for very high volume (thousands of requests per second) where compute costs dominate.
Hosted: Automatic. The provider handles load balancing, auto-scaling, and geographic distribution. Your endpoint works whether you get 10 or 10,000 requests per day.
Self-hosted: Manual. You configure auto-scaling rules, set up load balancers, and handle geographic routing yourself. Or you accept that your single instance has a ceiling.
Winner: Hosted. Unless you need custom scaling behavior or multi-region deployment with specific latency requirements.
Many teams start hosted and move specific high-volume or high-security servers to self-hosted infrastructure later. DataFaucet generates standard MCP server code that you can export and self-host if your requirements change.
Start with hosted to validate the use case. Migrate to self-hosted only when you hit a specific constraint that requires it.
Deploy your first hosted MCP server with DataFaucet — live in 60 seconds, no infrastructure required.
Related: MCP SSE vs Stdio, MCP vs Custom API Wrappers, Best MCP Servers.
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"mcpServers": {
"mcp-spec": {
"url": "https://datafaucet.dev/api/mcp/YOUR_SERVER_ID/sse"
}
}
}Replace YOUR_SERVER_ID with the ID from your DataFaucet dashboard after creating your MCP Spec server.
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"mcp-spec": {
"url": "https://datafaucet.dev/api/mcp/YOUR_ID/sse"
}Free plan includes 3 servers. Upgrade to Pro for unlimited →
Compare MCP server hosting options: Cloudflare Workers, Railway, Docker vs one-click DataFaucet deployment. Covers latency, auth, and cost.
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