Apple Developer Documentation (RAG)
This MCP server provides AI-powered semantic search and retrieval capabilities for Apple Developer Documentation, built by the Apple RAG Team using TypeScript and deployed on Cloudflare Workers. The implementation combines vector similarity search using PostgreSQL with pgvector, keyword search optimized for technical terms and API names, and AI reranking through SiliconFlow's embedding and reranker models to deliver highly relevant documentation results. Features include multi-key API failover for reliability, subscription-based rate limiting with anonymous access support, query cleaning to remove temporal information, and comprehensive logging with Telegram notifications, making it ideal for developers building AI assistants that need accurate access to Apple's technical documentation and API references.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/bingowon/apple-rag-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Apple Developer Documentation (RAG) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.