apple-rag-mcp — MCP Server by BingoWon

by BingoWon · MCP Server · ★ 128

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About apple-rag-mcp

The Apple docs MCP your AI actually deserves. Apple docs. WWDC transcripts. Semantic + keyword + hybrid search. One clean tool. 🌐 Website • 📊 Dashboard English | 中文 Not Just Another Docs Tool Others give you keyword search. We give you that, plus semantic understanding, plus AI-powered hybrid search that combines both intelligently. Every search mode you need, working together. Minimal footprint. Maximum signal. Our MCP tools are designed to be lean—no bloated responses, no wasted tokens, no noise cluttering your

aiai-agentsapplecursordocskeyword-searchmcpragsemantic-searchvibe-coding

Quick Facts

Stars128
Forks12
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score47.28/100
Last Updated2026-04-28
Created2025-07-20
Platformsmcp, node
Est. Tokens~187k

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Frequently Asked Questions

What is apple-rag-mcp?

apple-rag-mcp is  MCP server providing AI agents with instant access to Apple developer documentation via RAG. It is categorized as a MCP Server with 128 GitHub stars.

What programming language is apple-rag-mcp written in?

apple-rag-mcp is primarily written in TypeScript. It covers topics such as ai, ai-agents, apple.

How do I install or use apple-rag-mcp?

You can find installation instructions and usage details in the apple-rag-mcp GitHub repository at github.com/BingoWon/apple-rag-mcp. The project has 128 stars and 12 forks, indicating an active community.

What license does apple-rag-mcp use?

apple-rag-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to apple-rag-mcp?

The top alternatives to apple-rag-mcp on Agent Skills Hub include codegraph-rust, memtrace-public, octocode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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