// SCAN REPORT

Python Apple MCP

13 tools. 5 can modify or destroy data without limits.

5 write tools that can modify data. Rate limits recommended.

Last updated: 11 Jun 2026

5 can modify or destroy data

8 read-only

13 tools total

Community server · catalogue entry verified 11/06/2026

How to control Python Apple MCP ↓

TOOL MAP

What Python Apple MCP exposes to your agents

Read (8) Write / Execute (5) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous Python Apple MCP tools

Write · Medium create_event Creating calendar events is a Write operation as it creates new data structures that can be subsequently modified or deleted. Write · Medium create_note This tool creates new data (a note) in Apple Notes, which is a reversible operation—notes can be edited or deleted later. Write · Low create_reminder This tool creates new data in the Reminders app without destructive, financial, or code-execution characteristics. Write · Medium send_email Sending an email creates a new data artifact (the sent message in Mail) and has external side effects (delivery to recipient), making it a Write action rather than Read.

5 of Python Apple MCP's 13 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Python Apple MCP

PolicyLayer is an MCP gateway — it sits between your AI agents and Python Apple MCP, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations

{
  "create_event": {
    "limits": [
      {
        "counter": "create_event_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "find_contact": {
    "limits": [
      {
        "counter": "find_contact_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register Python Apple MCP — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON PYTHON APPLE →

Free to start. No card required.

FULL CATALOGUE

All 13 Python Apple MCP tools

WRITE 5 tools

Write create_event Create a new calendar event Write create_note Create a new note in Apple Notes Write create_reminder Create a new reminder Write send_email Send an email using Apple Mail Write send_message Send an iMessage

READ 8 tools

Read find_contact Search for contacts by name. If no name is provided, returns all contacts. Read get_directions Get directions between two locations Read read_messages Read recent messages from a specific contact Read search_emails Search emails containing the given text Read search_events Search for calendar events Read search_locations Search for locations in Apple Maps Read search_notes Search for notes containing the given text Read search_reminders Search for reminders containing the given text

FAQ

Questions about Python Apple MCP

How do I prevent bulk modifications through Python Apple MCP? +

The Python Apple MCP server has 5 write tools including create_event, create_note, create_reminder. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Python Apple MCP.

How many tools does the Python Apple MCP server expose? +

13 tools across 2 categories: Read, Write. 8 are read-only. 5 can modify, create, or delete data.

How do I enforce a policy on Python Apple MCP? +

Register the Python Apple MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Python Apple MCP tool call.

Deterministic rules across all 13 Python Apple MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON PYTHON APPLE →

Free to start. No card required.

13 Python Apple MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.