How does Simply ensure type safety in API interactions?

Simply achieves full type safety through its TypeScript-first design and integrates Zod for robust schema validation, ensuring data integrity for API inputs and outputs.

Is Simply suitable for AI or LLM-related applications?

Absolutely. Simply is well-suited for AI/LLM applications, featuring enhanced capabilities like LLM sampling/completions, progress notifications, binary content support, and seamless integration with tools like Claude Code/Desktop.

Which API development styles does Simply support?

Simply supports three distinct API styles: Decorator (Python FastMCP-inspired), Functional (clean, declarative), and Programmatic (for dynamic server generation).

Does Simply support different communication transports?

Yes, Simply provides built-in support for multiple transports including stdio, HTTP, and Server-Sent Events (SSE) to suit various application architectures.

Simply

Name: Simply
Author: Clockwork-Innovations

byClockwork-Innovations

0•

開発者ツール

データサイエンスとML

API開発

Develop modern, type-safe Model Context Protocol servers for TypeScript applications with flexible API styles.

Simply is a robust framework designed for building Model Context Protocol (MCP) servers using TypeScript. It offers developers the flexibility of multiple API styles—decorator-based, functional, and programmatic—to suit various development preferences and project needs. With full type safety enforced by TypeScript and Zod schema validation, Simply ensures reliable and maintainable code. It comes equipped with advanced features like LLM sampling, progress notifications, resource management, and binary content support, alongside a developer-friendly CLI for auto-detection, bundling, and seamless integration with AI agents like Claude Code/Desktop.

主な機能

01Multiple API Styles (Decorator, Functional, Programmatic)

020 GitHub stars

03Enhanced Features (LLM sampling, progress notifications, binary content)

04Multiple Transports (stdio, HTTP, SSE)

05Full Type Safety with TypeScript and Zod schema validation

06Developer-friendly CLI for auto-detection, bundling, and deployment

ユースケース

01Creating microservices that expose specific functionalities via the Model Context Protocol

02Building custom tool-calling services for Large Language Models (LLMs)

03Integrating AI agents like Claude with custom business logic and data sources