Search for contacts by name. If no name is provided, returns all contacts.
AI agents call find_contact to retrieve information from Python Apple MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries contact data from macOS Contacts. It has no capability to create, modify, delete, or execute operations—it only reads and returns existing contact information. This is a straightforward Read category tool.
From the tool's definition The tool "search for contacts by name" with the capability to "return all contacts" performs a retrieval operation without modifying data. The description explicitly indicates it searches and returns contact information without side effects.
Documented attack patterns abuse exactly the kind of access find_contact gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Python Apple MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for find_contact:
{
"version": "1",
"default": "deny",
"tools": {
"find_contact": {}
}
}find_contact is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for contacts by name. If no name is provided, returns all contacts. It is categorised as a Read tool in the Python Apple MCP MCP Server, which means it retrieves data without modifying state.
Register the Python Apple MCP server in PolicyLayer and add a rule for find_contact: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Python Apple MCP. Nothing to install.
find_contact is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the find_contact rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for find_contact. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
find_contact is provided by the Python Apple MCP server (jxnl/python-apple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Python Apple MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Python Apple MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.