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Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

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Status
Unhealthy
Uptime
22.2% over 41 days
Last Tested
Transport
Streamable HTTP
URL
Repository
BingoWon/apple-rag-mcp
GitHub Stars
119
Server Listing
Apple RAG MCP

TDQS

A3.9/5.0

Scored across 2 tools

Disambiguation5/5

fetch and search have clearly distinct purposes: retrieving a specific document by URL versus searching across the content corpus. No overlap or ambiguity exists.

Naming Consistency5/5

Both tool names are single verbs ('fetch', 'search') following a consistent action-oriented pattern. Naming is simple and predictable.

Tool Count3/5

With only two tools, the set feels thin for a documentation server, though each tool is essential and well-scoped. The count is borderline per the calibration guidelines.

Completeness5/5

For a read-only documentation server, fetch and search cover the core workflows: accessing specific content and discovering relevant material. No significant gaps are apparent.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • Changedsearch1 field changed
      • changedInput schema / properties / result_count / type
        Previous value: -"number"New value: +"integer"
  2. 2 tool updates
    • Changedfetch1 field changed
      • addedInput schema / $schema
        Added value: +"https://json-schema.org/draft/2020-12/schema"
    • Changedsearch1 field changed
      • addedInput schema / $schema
        Added value: +"https://json-schema.org/draft/2020-12/schema"
  3. 2 tool updates
    • First observedfetch
    • First observedsearch

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