What MCP clients does Apple RAG MCP support?
Cursor, Claude Desktop, Cline, and all MCP-compatible tools.
@BingoWon
Basic information
Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive Apple platform knowledge through cutting-edge RAG technology. With professional AI reranking and hybrid search across iOS,
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"apple-rag-mcp": {
"url": "https://mcp.apple-rag.com"
}
}
}Search Apple's official developer documentation and video content using advanced RAG technology. Returns relevant content from Apple's technical documentation, frameworks, APIs, design guidelines, and educational resources.
Retrieve complete cleaned content for a specific Apple developer documentation or video by URL. Returns the full processed content from Apple's official knowledge base.
Apple RAG MCP delivers instant access to official Swift development docs, design guidelines, Apple platform knowledge, and Apple Developer YouTube content including WWDC sessions, tutorials, and live events. It is a Retrieval-Augmented Generation (RAG) system combining Apple’s official documentation with video content, featuring AI reranking with Qwen3-Reranker-8B for search accuracy. It’s designed for developers using AI agents that need Apple expertise.
Install with a one-click Cursor button or manually configure for any MCP-compatible client by adding the URL https://mcp.apple-rag.com (MCP Type: Streamable HTTP). Authentication is optional; an MCP Token at apple-rag.com provides higher usage limits. No token is required to start.
Cursor, Claude Desktop, Cline, and all MCP-compatible tools.
No MCP Token is required to start. An MCP Token (optional) provides higher usage limits and can be obtained at apple-rag.com.
It uses hybrid search combining Semantic Search (vector similarity), Keyword Search (technical term matching), and AI reranking with Qwen3-Reranker-8B for precision.
Yes, the index is continuously updated to reflect the latest Apple developer resources, including official docs and Apple Developer YouTube content.
Yes. See the Deployment Guide (DEPLOYMENT.md) for setup instructions using Cloudflare Workers.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
Memlord is a remote MCP server available at https://app.memlord.com.

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Search saved employee handbooks from your AI assistant. Four read-only tools list authorized handbooks, browse policies, search content, and read source pages with citation links. Uses scoped bearer tokens and Streamable
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