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Memory and knowledge · MCP server

Apple notes MCP (ailenshen): MCP server, setup and security

Apple notes MCP (ailenshen) is an open-source MCP server published on GitHub that lets an AI agent search and edit Apple Notes with bidirectional Markdown content conversion. Its repository has 13 stars and its last commit is from October 16, 2026 and it is licensed under MIT.

Actively maintained

What Apple notes MCP (ailenshen) does

According to its repository: “Read and write Apple Notes with bidirectional Markdown conversion: SQLite queries for listing and search, AppleScript for full CRUD.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Apple notes MCP (ailenshen) is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #177 by stars.

Topics declared by the repository: apple-notes, claude, macos, markdown, apple.

Installing and connecting Apple notes MCP (ailenshen)

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Apple notes MCP (ailenshen). That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 22, 2026, the ailenshen/apple-notes-mcp repository has 13 stars and 3 forks, with 0 open issues. It has more stars than 31% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KApple notes MCP (ailenshen)Apple notes MCP (ailenshen) : 1313
GitHub stars of the most followed servers in the category (log scale); Apple notes MCP (ailenshen) in orange. Checked October 25, 2026.

Verdict

Apple notes MCP (ailenshen) is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install Apple notes MCP (ailenshen)?

No package is declared in the MCP registry: clone the ailenshen/apple-notes-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Apple notes MCP (ailenshen) free?

The code is published under the MIT licence and can be used free of charge.

Is Apple notes MCP (ailenshen) safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by ailenshen on GitHub. Check who maintains it before giving it access.

What are the alternatives to Apple notes MCP (ailenshen)?

In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score