Is the apple-rag-mcp MCP server actively maintained?

The apple-rag-mcp MCP server was last committed 18d ago and has 2 contributors. Issue health: 33% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

apple-rag-mcp MCP Server

Name: BingoWon/apple-rag-mcp
Rating: 3.6 (1 reviews)
Author: BingoWon

BingoWon/apple-rag-mcp

Score: 65.1 → 0.1% Rank #5051 Search & RAG

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Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.

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Overview

BingoWon/apple-rag-mcp is a TypeScript MCP server licensed under MIT. Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking. Topics: ai-agents, apple, docs, mcp, rag, semantic-search, ai, vibe-coding, claude, codex, dev.

Ranked #5051 out of 24846 indexed tools.

Ecosystem

TypeScript MIT

ai-agentsappledocsmcpragsemantic-searchaivibe-codingclaudecodexdev

Score Breakdown

Stars 15% 120

120 stars → growing community

Freshness 25% 18d ago

Last commit 18d ago → recently updated

Issue Health 25% 33%

1/3 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 8

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 2 open vs 1 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 120
Forks: 8
Open Issues: 2
Closed Issues: 1
Contributors: 2
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 18d ago

Matched Queries

"mcp server""mcp-server"topic:mcp

From the README

<div align="center">

### The Apple docs MCP your AI actually deserves.

*Apple docs. WWDC26 transcripts. RAG retrieval + [Jev](https://typesafe.ai/) relevance ranking. One clean tool.*

[Website](https://apple-rag.com) · Powered by [ Jev](https://typesafe.ai/)

  · **English** | [中文](./README.zh-CN.md)

<a href="https://apple-rag.com"></a>

</div>

---

## Not Just Another Docs Tool

Hybrid retrieval combines keyword and semantic search to find Apple sources. [Jev](https://typesafe.ai/) then ranks the merged candidates for relevance to your question, bringing the best matches to your agent.

**Minimal footprint. Maximum signal.** Our MCP tools are designed to be lean—no bloated responses, no wasted tokens, no noise cluttering your agent's context. Just the information that matters.

### Powered by [ Jev](https://typesafe.ai/)

[Jev](https://typesafe.ai/), a decision model, scores candidate Apple documentation
and video transcripts against each query's API, platform, and version requir

Read full README on GitHub →