Apple Notes search & connection-discovery

SkillSearch

Lets your agent search your Apple Notes and find related notes on your Mac.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Apple Notes search & connection-discovery skill

About this capability

Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server. Use when the user wants to find, recall, or synthesize something from their notes, or surface non-obvious bridges/related notes. macOS, on-device.

What this skill tells your AI

The instructions your AI receives, as published by sickn33/agentic-awesome-skills in skills/apple-notes-search/SKILL.md and read by ahel’s review.

apple-notes is an MCP server for semantic search and connection-discovery across the user's own Apple Notes — hybrid search, Swanson-ABC bridges, entity threads, and cited synthesis over everything they've written. Embeddings, search, BM25, clustering, and bridges run on-device; only synthesis generation calls an LLM (local OR cloud, the user's choice).

This skill covers (1) the one-time setup you must walk the user through, and (2) which tool to reach for, since the server exposes many.

When to Use This Skill

  • Use when the user wants to find, recall, or look up something from their own Apple Notes ("search my notes for X", "what did I write about X", "did I ever note Y").
  • Use when the user wants to surface non-obvious connections across their notes ("find bridges/connections across my notes", "what links X and Y", "show related notes").
  • Use when the user wants to synthesize a position from their notes ("summarize what I think about X from my notes", "pull together everything I've written on X").
  • Also use for "index my Apple Notes", tag/folder queries, and "what's connected to X".
  • Do not use for creating reminders, or for non-Apple-Notes note systems.

First: is the MCP connected?

If apple-notes tools are not available, the server isn't registered yet — do the Setup below before anything else. If tools exist but a search returns "not indexed" or empty, run index-notes first (see Ranking caveats).

Setup (walk the user through this — it's the skill's real value)

The server reads Apple Notes' SQLite store directly, so the bun binary needs Full Disk Access. Steps, in order:

  1. Install bun (if absent): brew install oven-sh/bun/bun
  2. Clone + install deps:
    git clone https://github.com/connerkward/mcp-apple-notes
    cd mcp-apple-notes
    git checkout <reviewed-tag-or-commit>
    bun install
    
  3. Grant Full Disk Access to bun. Run which bun, then open System Settings → Privacy & Security → Full Disk Access, click +, and add that exact bun binary path (commonly /opt/homebrew/bin/bun or /usr/local/bin/bun). Without this the server cannot read NoteStore.sqlite and every call fails with a permissions error. (bun install's postinstall tries to open this pane automatically.)
  4. Register the MCP server (pick the user's client):
    • Claude Code: claude mcp add apple-notes -- bun /absolute/path/to/mcp-apple-notes/index.ts --stdio
    • Claude Desktop: add to claude_desktop_config.json:
      { "mcpServers": { "apple-notes": {
          "command": "/Users/<you>/.bun/bin/bun",
          "args": ["/Users/<you>/mcp-apple-notes/index.ts", "--stdio"] } } }
      
    • As a Claude Code plugin (bundles this skill too): /plugin marketplace add connerkward/ckw-skills then /plugin install apple-notes@connerkward.
  5. Restart the client, then tell the user to ask "Index my Apple Notes" (or call index-notes). First index of ~1,800 notes takes a few seconds.

Tool map — which tool for which job

ToolUse when
index-notesFirst run, or to force a rebuild. Background job with live progress.
search-notesDefault search. Hybrid semantic + BM25, re-ranked. Optional folder, modifiedAfter, modifiedBefore. "What did I write about X."
find-notesExact substring match (like the Apple Notes search box). Use when the user wants a literal string, not meaning. Optional folder, date range.
get-noteFetch one full note by title (fuzzy fallback).
list-notesNotes by recency. Optional folder, date range, limit.
list-foldersAll folders + note counts.
list-tags / search-by-tag#hashtag inventory / notes carrying a given tag.
related-notesNotes related to a given one via shared tags, [[wikilinks]], and vector similarity. "Show me related notes."
bridge-notesSwanson-ABC bridges — non-obvious connections: pairs (A, C) not directly similar but both strongly tied to a shared intermediary B. "Find non-obvious connections across my notes." Optional folder, limit. No LLM.
feedRanked evidence-first connection stream (bridges + abstraction pairs + entity threads) as JSON. Optional limit.
entity-notes / list-entities"Where else do I talk about Mercedes?" Entity chips → notes by mention weight. Needs the optional entity graph db (~/.mcp-apple-notes/layered_graph.db); if absent these report how to generate it.
get-tablesPull pipe/tab tables out of a note.
create-note / update-noteCreate or edit a note.
check-changesDid notes change since last index? (does not trigger re-index)
index-healthSync status, last-indexed time, note count. Run this if results seem stale.

For "synthesize what I think about X" the synthesis lives in the web app endpoint (GET /api/synthesize?q= at http://localhost:3741/ when run with bun index.ts), which writes a grounded answer with inline [n] citations back to source notes.

Ranking caveats (state these when results look off)

  • Index before the first search. No index → empty/garbage results; run index-notes.
  • Auto re-index: each search does ~1ms change detection and kicks ONE background incremental index if notes changed — search returns immediately from the current index and catches up when the job lands. If a just-edited note is missing, it's the catch-up lag; re-run the search.
  • Score: score = RRF(vector, BM25) × title_boost × recency_factor.
  • Temporal queries (recent, latest, today) auto-shift to a 1-day recency half-life at 70% weight; normal queries keep relevance primary (90-day half-life, 10%).
  • Synthesis is the only cloud-capable part. It needs an LLM: local via LM Studio / Ollama (SYNTH_BASE_URL=http://localhost:1234/v1 SYNTH_MODEL=<model> OPENAI_API_KEY=local, notes stay on-device) or real OpenAI (funded OPENAI_API_KEY, defaults to gpt-4o-mini). Everything else — embeddings, search, BM25, clustering, bridges, entities — is on-device.

Example

User request:

Use @apple-notes-search for this task: Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server.

Limitations

  • macOS and Apple Notes only; it does not search Obsidian, Notion, Google Docs, or other note stores.
  • The MCP server needs local filesystem permissions to read Apple Notes data, so setup cannot be completed purely inside a remote shell.
  • Search quality depends on a fresh local index. Recently edited notes may require check-changes, index-health, or a rerun after background indexing catches up.
  • Entity tools require the optional layered graph database; without it, use hybrid search, exact search, related notes, or bridges instead.

Credits

Fork of RafalWilinski/mcp-apple-notes; this fork reads SQLite + protobuf directly and adds bridges, entities, feed, and synthesis. Authored by Conner K Ward. License MIT.

Signals

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Sep 2026
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Source
github.com/sickn33/agentic-awesome-skills