Tutorial: Build a Custom MCP Server with AI Tools Using NeuroLink SDK

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A new developer tutorial published on DEV Community walks through building a Model Context Protocol (MCP) server with three custom AI tools — a database query tool, a notification tool, and a file operations tool — in approximately 30 minutes. The Model Context Protocol standardizes how AI agents discover and execute tools at runtime, decoupling business logic from AI orchestration layers. The guide uses the NeuroLink SDK alongside Zod-validated schemas, rate limiting, and circuit breaker resilience patterns to create a production-ready tool server. Rather than starting a standalone HTTP server, the MCP server acts as a logical container that can be embedded in applications or exposed over HTTP. The tutorial highlights practical benefits of this architecture, including reusability across multiple AI agents, easier unit testing, and server-side security controls.

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