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by aashari • Uncategorized
A production-ready TypeScript boilerplate for building custom Model Context Protocol (MCP) servers connecting AI assistants with external APIs and data sources.
Securely connect to external APIs and data sources using the MCP standard.
A production-ready, extensible server foundation with layered architecture and type safety.
Token-efficient output formats and advanced filtering to reduce token costs.
This boilerplate provides a complete layered architecture, example implementations, and developer tools to create secure MCP servers. It supports dual transport modes (STDIO and HTTP), token-efficient output formats like TOON, and advanced features such as JMESPath filtering and raw response logging. The project emphasizes security with DNS rebinding protection and localhost-only binding, and includes comprehensive testing and developer infrastructure.
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