DocsAPI is a tool designed to fetch and parse any web-hosted documentation, including specialized support for Apple Developer content, into standardized Markdown format via a simple API.

What types of documentation can DocsAPI parse?

Beyond Apple Developer content, DocsAPI can parse any generic web documentation URL into Markdown. It's versatile for various online resources like `docs.rs` or Python docs.

Is it possible to self-host DocsAPI?

Absolutely. DocsAPI is built for easy self-hosting with Node.js and can be deployed to platforms like Cloudflare Workers, allowing you to run it on your own infrastructure.

DocsAPI

Name: DocsAPI
Author: example-git

0•

Fetches and parses any generic web-hosted documentation into standardized Markdown format, with specialized support for Apple Developer content.

DocsAPI is a robust MCP server designed to convert web-hosted documentation into Markdown, facilitating easier consumption by various applications, including AI systems. Forked from sosumi.ai, it extends its capabilities to provide a generic documentation API while maintaining strong support for Apple Developer documentation, including API references and Human Interface Guidelines. It offers versatile fetching and searching tools, and integrates seamlessly with MCP clients via Streamable HTTP or Server-Sent Events, making it an ideal solution for developers requiring programmatic access to structured documentation.

주요 기능

01Parses any generic web documentation into Markdown via a simple API

02Dedicated API and tools for fetching and searching Apple Developer documentation

03MCP server integration supporting Streamable HTTP and Server-Sent Events for client connectivity

04Provides structured search results including titles, URLs, descriptions, and tags

050 GitHub stars

06Supports self-hosting with Node.js and deployment to platforms like Cloudflare Workers

사용 사례

01Building custom knowledge bases or internal tools that require programmatic access to diverse documentation sources

02Integrating standardized documentation into AI models and agent-based systems

03Fetching and processing documentation from various platforms for analysis or display