The iMessage Query MCP Server is a specialized MCP server designed to provide AI models with secure, read-only access to iMessage data on macOS. Built using the FastMCP framework and the imessagedb library, it allows Large Language Models (LLMs) to query and analyze iMessage conversations, extracting valuable insights while ensuring data privacy.

This server offers a get_chat_transcript tool, enabling retrieval of message history for specific phone numbers, with optional date filtering. It incorporates robust phone number validation and safe attachment handling, preventing potential security risks. By integrating this server, developers can empower AI models to understand user communication patterns, analyze sentiment, and extract key information from iMessage conversations, all while adhering to strict security protocols. The server integrates seamlessly with tools like Claude Desktop and Cline VSCode Plugin, offering flexible deployment options. It enhances AI capabilities by providing a secure and structured interface to a valuable data source.

Secure iMessage Transcript Retrieval

The core function of the imessage-query-fastmcp-mcp-server is to provide a secure and controlled interface for AI models to access and analyze iMessage conversations. It leverages the imessagedb library to interact with the macOS Messages database, offering a read-only pathway to extract message history. This ensures that the AI model can gain valuable context from personal communications without risking data modification or corruption. The server validates phone numbers using the phonenumbers library, preventing unauthorized access to conversations and ensuring data privacy. Date range filtering allows for focused analysis, retrieving only relevant messages within a specified timeframe.

For example, an AI assistant could use this server to summarize past conversations with a specific contact before a meeting, providing the user with a quick recap of key discussion points and action items. The server returns message text, timestamps, and attachment information in a structured format, facilitating easy integration with various AI models.

Phone Number Validation and Security

A critical feature is the robust phone number validation implemented using the phonenumbers library. This validation step is essential for security and data privacy. Before retrieving any message history, the server verifies that the requested phone number is a valid and properly formatted phone number. This prevents malicious actors from attempting to access arbitrary conversations by injecting invalid or malformed phone numbers. This validation also helps to ensure that the AI model only processes data from intended sources, reducing the risk of errors or biases in its analysis.

Consider a scenario where an AI model is designed to identify potential phishing attempts in iMessage conversations. By validating the phone number associated with each message, the server can help the AI model focus on legitimate communications and avoid being misled by spoofed or fraudulent numbers. This feature adds a layer of trust and reliability to the data provided to the AI model.

Safe Attachment Handling

The imessage-query-fastmcp-mcp-server incorporates safe attachment handling to prevent issues related to missing or inaccessible files. When retrieving message history, the server checks for the existence of attachments and provides information about them, even if the actual file is missing. This prevents the AI model from crashing or encountering errors when attempting to process non-existent files. The server provides metadata about the attachment, such as its filename and type, allowing the AI model to handle missing attachments gracefully.

For instance, if an AI model is analyzing iMessage conversations to identify important documents, the server can inform the model about the presence of attachments, even if the files have been deleted or moved. The AI model can then notify the user about the missing attachments and prompt them to restore the files if necessary. This feature ensures that the AI model can provide accurate and complete analysis, even in the presence of incomplete data.

Integration Advantages

The imessage-query-fastmcp-mcp-server is designed for seamless integration with the FastMCP framework, simplifying deployment and management. The server can be easily installed and configured using FastMCP, allowing developers to quickly connect it to AI models. The server's clear and well-defined API makes it easy to integrate with various AI platforms, including Claude Desktop and the Cline VSCode Plugin. The server's progress output suppression ensures clean JSON responses, facilitating easy parsing and processing by AI models.

The server's integration with FastMCP also provides access to a range of features, such as authentication, authorization, and rate limiting, enhancing the security and reliability of the system. The server's modular design allows developers to easily extend its functionality by adding new tools or modifying existing ones. This flexibility makes the imessage-query-fastmcp-mcp-server a valuable asset for any AI project that requires access to iMessage data.