A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript. Provides a complete layered architecture pattern, working example implementation, and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.
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process.env. You'll be asked to provide them before it can run.JEST_WORKER_IDPACKAGE_NAMEPORT— Runs on port 3000 by default (configurable via env var)TRANSPORT_MODE— Run with: =stdio node dist/index.js[](https://m8ven.ai/mcp/aashari-boilerplate-mcp-server-1j33wc)