imessage-query
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling.
iMessage Query MCP Server
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling.
📋 System Requirements
- macOS (required for iMessage database access)
- Python 3.6+
📦 Dependencies
Install all required dependencies:
# Using pip
pip install -r requirements.txt
Required Packages
- fastmcp: Framework for building Model Context Protocol servers
- imessagedb: Python library for accessing and querying the macOS Messages database
- phonenumbers: Google's phone number handling library for proper number validation and formatting
All dependencies are specified in requirements.txt for easy installation.
📑 Table of Contents
- System Requirements
- Dependencies
- MCP Tools
- Getting Started
- Installation Options
- Safety Features
- Development Documentation
- Environment Variables
🛠️ MCP Tools
The server exposes the following tools to LLMs:
get_chat_transcript
Retrieve message history for a specific phone number with optional date filtering. Includes:
- Message text and timestamps
- Attachment information (if any)
- Proper phone number validation
- Date range filtering
🚀 Getting Started
Clone the repository:
git clone https://github.com/hannesrudolph/imessage-query-fastmcp-mcp-server.git
cd imessage-query-fastmcp-mcp-server
📦 Installation Options
You can install this MCP server in either Claude Desktop or the Cline VSCode plugin. Choose the option that best suits your needs.
Option 1: Install for Claude Desktop
Install using FastMCP:
fastmcp install imessage-query-server.py --name "iMessage Query"
Option 2: Install for Cline VSCode Plugin
To use this server with the Cline VSCode plugin:
- In VSCode, click the server icon (☰) in the Cline plugin sidebar
- Click the "Edit MCP Settings" button (✎)
- Add the following configuration to the settings file:
{
"imessage-query": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"/path/to/repo/imessage-query-server.py"
]
}
}
Replace /path/to/repo with the full path to where you cloned this repository (e.g., /Users/username/Projects/imessage-query-fastmcp-mcp-server)
🔒 Safety Features
- Read-only access to the iMessage database
- Phone number validation using the phonenumbers library
- Safe attachment handling with missing file detection
- Date range validation
- Progress output suppression for clean JSON responses
📚 Development Documentation
The repository includes documentation files for development:
dev_docs/imessagedb-documentation.txt: Contains comprehensive documentation about the iMessage database structure and the imessagedb library's capabilities.
This documentation serves as context when developing features and can be used with LLMs to assist in development.
⚙️ Environment Variables
No environment variables are required as the server automatically locates the iMessage database in the default macOS location.
Recommend MCP Servers 💡
clearml-mcp
A lightweight Model Context Protocol (MCP) server that enables AI assistants to interact with ClearML experiments, models, and projects, providing comprehensive ML experiment context and analysis directly in AI conversations.
hackmd-mcp
A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.
BCusack/sharepoint-mcp
A Model Context Protocol server for accessing organizational SharePoint resources via Microsoft Graph API.
@JackKuo666/google-scholar-mcp-server
Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
Bitrise MCP Server
A conversational interface to interact with the Bitrise CI platform, enabling users to query builds, troubleshoot, and optimize configurations using natural language.
@zzaebok/mcp-wikidata
A server implementation for Wikidata API using the Model Context Protocol (MCP)