Building Production Model Context Protocol (MCP) Servers with Node.js and TypeScript
A practical guide to MCP server design, token authentication, sandboxing, and REST-versus-MCP tradeoffs.
Article Focus
AI & ArchitecturePrimary Topic
12 min readReading Time
PracticalExecution Style
StructuredContext Flow
Building Production Model Context Protocol (MCP) Servers with Node.js and TypeScript
MCP is an open standard for connecting language models to tools, databases, and internal APIs through explicit contracts. Production implementations need authentication, authorization, validation, observability, and safe execution boundaries.
1. Define a small tool contract
server.tool("get_customer", { customerId: z.string().uuid() }, async ({ customerId }) => ({ content: [{ type: "text", text: JSON.stringify(await repository.find(customerId)) }] }));2. Protect the boundary
Use short-lived bearer tokens, tenant-aware permission checks, input validation, rate limits, audit logs, and a sandbox for file or process access. Never let model-generated arguments bypass the same policy layer used by your application.
REST vs MCP
| REST | MCP |
|---|---|
| Resource-oriented HTTP endpoints | Model-discoverable tools and resources |
| Clients own orchestration | Shared context and tool contracts |
| Strong fit for public APIs | Strong fit for agent workflows |
Production checklist
- Token authentication and tenant isolation
- Schema validation and least-privilege tools
- Timeouts, retries, tracing, and structured logs
- Integration tests against realistic upstream failures