Typescribe
Enables LLMs to effectively utilize new and internal APIs by providing real-time, contextual API documentation.
Acerca de
Typescribe is an open-source implementation of the Model Context Protocol (MCP) designed to equip Large Language Models (LLMs) with contextual, real-time access to API information, particularly TypeScript definitions. It addresses the challenge of LLMs being limited to APIs they were trained on, hindering the adoption of new or internal tools. By parsing TypeScript definitions (using TypeDoc) into a machine-readable format and serving this context dynamically to LLMs, Typescribe empowers AI agents to query, plan, and adapt to unfamiliar APIs without retraining, fostering faster onboarding of new SDKs and enabling more autonomous, context-aware coding agents.
Características Principales
- Follows the Model Context Protocol for seamless integration with AI agents.
- 3 GitHub stars
- Loads and indexes TypeDoc JSON documentation for efficient querying.
- Offers a wide range of tools for exploring TypeScript APIs.
- Provides comprehensive query capabilities for exploring TypeScript APIs.
- Supports querying by ID or name for all handlers, including arrays of IDs or names.
Casos de Uso
- Plug-and-play API support for LLM-based coding assistants.
- Enabling LLMs to effectively use internal APIs.
- Faster onboarding for new or proprietary SDKs.
