iMessage Query MCP Server

Overview

The iMessage Query MCP Server is a specialized tool that bridges the gap between conversational AI assistants and the local iMessage database on macOS. By exposing a safe, read‑only interface through the Model Context Protocol (MCP), it allows LLMs to retrieve, filter, and analyze private chat histories without compromising user privacy or data integrity. This capability is essential for developers who need to build AI workflows that depend on historical communication context—whether for customer support automation, personal productivity apps, or data‑driven analytics.

Problem Solved

Accessing the native iMessage database directly is non‑trivial: it resides in a protected SQLite file, requires proper permission handling, and involves parsing complex schema relationships. Traditional solutions involve manual export or third‑party tools that may expose sensitive data or lack robust validation. The MCP server abstracts these complexities, providing a clean API that guarantees read‑only access and incorporates strict phone number validation. This eliminates the risk of accidental data leakage while giving developers a reliable, repeatable method to query conversations.

Core Functionality

At its heart, the server offers a single powerful tool: . When invoked, it returns the full message history for a specified phone number, optionally constrained by a date range. The response includes:

• Message text and timestamps for chronological context
• Attachment metadata, with automatic detection of missing files to avoid errors
• Validated phone numbers in E.164 format, ensuring consistent identification across regions

All data is delivered as clean JSON, making it straightforward to ingest into downstream AI models or analytics pipelines. The server also suppresses extraneous console output, ensuring that responses remain uncluttered and machine‑readable.

Use Cases & Integration

1. Customer Support Automation – A chatbot can pull the latest conversation with a client to provide context‑aware responses, improving service quality without manual lookup.
2. Personal Productivity – Developers can build tools that summarize past conversations, extract action items, or generate meeting notes directly from iMessage threads.
3. Data Analysis & Research – Researchers can query large volumes of chat data for sentiment analysis, trend detection, or compliance auditing while maintaining privacy safeguards.
4. Workflow Orchestration – The MCP server can be chained with other tools (e.g., email, calendar) in a Claude or Cline workflow, enabling holistic automation that spans multiple communication channels.

Integration is seamless: once installed via FastMCP, the server registers its tools with any MCP‑compatible client. Developers can then invoke as part of a prompt or as an auxiliary function, allowing LLMs to fetch real‑world context on demand.

Unique Advantages

• Read‑Only, Safe Access – No risk of modifying the iMessage database; all operations are strictly non‑destructive.
• Robust Validation – Phone numbers undergo comprehensive parsing and formatting, reducing errors in multi‑region deployments.
• Attachment Handling – The server gracefully manages missing or corrupted attachments, ensuring that the AI workflow receives a consistent payload.
• Zero Configuration Overhead – No environment variables or manual database paths; the server automatically locates the default macOS Messages store.

In summary, the iMessage Query MCP Server equips developers with a secure, reliable bridge to their local messaging history, empowering AI assistants to deliver richer, context‑aware interactions without compromising privacy or data integrity.