Borrowing it
Nothing to install: this file belongs to mcolyer/mcp-apple-notes-py. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mcolyer/mcp-apple-notes-py/main/CLAUDE.mdgit clone --depth 1 https://github.com/mcolyer/mcp-apple-notes-pyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/mcolyer/mcp-apple-notes-py/claude-md)<a href="https://agentmods.dev/instructions/mcolyer/mcp-apple-notes-py/claude-md"><img src="https://agentmods.dev/badge/instructions/mcolyer/mcp-apple-notes-py/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02792 | $0.02792 |
| Opus 5 | $0.01396 | $0.01396 |
| Sonnet 5 | $0.00558 | $0.00558 |
| Haiku 4.5 | $0.00279 | $0.00279 |
Grade A, and why
mcp-apple-notes-py CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Notes MCP Desktop Extension - Project Guidelines
This document contains project-specific guidelines for working on the Apple Notes MCP Desktop Extension.
Project Overview
This is a Desktop Extension (DXT) that provides access to Apple Notes through the Model Context Protocol (MCP). It allows AI assistants to list and retrieve notes from local Apple Notes.app on macOS.
Development Guidelines
Development Workflow
- Always commit your work at logical points along the way
- IMPORTANT: Always update CHANGELOG.md before committing significant changes
- Add new features to the "Unreleased" section with proper categorization
- Use format: Added/Changed/Deprecated/Removed/Fixed/Security
- Follow Keep a Changelog format
- Run tests before committing:
uv run pytest tests/ -v - Check code quality before pushing: ensure no deprecated
notes()usage
Package Management
- Use UV: Always use
uvfor dependency management and virtual environment handling - Sync dependencies: Run
uv syncto install/update dependencies - Add dependencies: Use
uv add <package>to add new dependencies - IMPORTANT: When adding new dependencies, also update
scripts/package_dxt.pyto include them in the bundled DXT package dependencies list
Code Standards
- Python Version: Requires Python 3.13 or higher
- Type Hints: Use comprehensive type hints throughout the codebase
- Error Handling: Implement defensive programming with comprehensive error handling
- Logging: Use structured logging with appropriate levels (INFO, DEBUG, WARNING, ERROR)
MCP Server Implementation
- FastMCP: Use the FastMCP framework for server implementation
- Tool Definitions: All tools must have proper docstrings and type annotations
- Input Validation: Validate all input parameters with appropriate bounds
- Structured Responses: Return consistent JSON responses with metadata
DXT Compliance
- Manifest: Follow DXT manifest specification exactly
- Platform Support: macOS only due to Apple Notes.app requirement
- Packaging: Ensure all dependencies are bundled for distribution
- Security: Implement proper security measures and timeout management
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 313 lines · 2,792 tokens per session scan A f11a112babb5
mcp-apple-notes-py CLAUDE.md is an instructions file published in the GitHub repository mcolyer/mcp-apple-notes-py (11 stars, last pushed 1y ago), licensed MIT. It adds 2,792 tokens to every session, about $0.0140 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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