Imessage Query Fastmcp MCP Server
I

Imessage Query Fastmcp MCP Server

An iMessage query server based on the FastMCP framework that provides functions for securely accessing and analyzing the iMessage database.
2.5 points
10.0K

What is the iMessage Query MCP Server?

The iMessage Query MCP Server is a tool built on the FastMCP framework that allows you to securely access the iMessage database on macOS. You can easily query and analyze your iMessage conversations, including message text, timestamps, attachment information, and verify the validity of phone numbers.

How to use the iMessage Query MCP Server?

After installation, you can query your iMessage database with simple commands. For example, you can retrieve chat records of a specific contact or view messages within a certain date range.

Use Cases

This tool is ideal for those who need to quickly review past conversation content, such as finding important information, organizing communication records, or analyzing historical communication trends.

Main Features

Get Chat Records
Retrieve complete chat records based on the specified phone number, supporting date filtering.
Attachment Handling
Automatically detect and process attachment information in messages to ensure data integrity and security.
Phone Number Verification
Use the phonenumbers library to strictly verify the input phone number to ensure accuracy.
Date Range Filtering
Allow users to set start and end dates and only return messages within that time period.
Advantages
Read-only access to the iMessage database to ensure data security.
Built-in phone number verification function to reduce the risk of incorrect input.
Support attachment handling of multiple file types to improve compatibility.
Provide a concise and intuitive JSON format output for easy subsequent parsing and use.
Limitations
Only support the macOS system.
Require Python 3.6 or higher to be installed.
Queries may take some time for very large databases.

How to Use

Clone the Repository
Run the following command in the terminal to clone the project code: ```bash git clone https://github.com/hannesrudolph/imessage-query-fastmcp-mcp-server.git ```
Install Dependencies
After entering the project directory, run the following command to install the required dependencies: ```bash pip install -r requirements.txt ```
Start the Server
After installation is complete, use the following command to start the MCP server: ```bash python3 imessage-query-server.py ```
Test the Query
Run the following command to test if it works properly: ```bash get_chat_transcript +1234567890 ```

Usage Examples

Example 1: Query Chat Records of the Last Week
Suppose you want to view the conversation content with a friend in the past week.
Example 2: Export Attachments of a Specific Date
If you need to collect all files sent on a certain day, you can perform the following operations.

Frequently Asked Questions

Does the iMessage Query MCP Server support Windows?
How to update the MCP server?
Can I export the chat records of multiple contacts in batches?

Related Resources

Official Documentation
Read the complete project documentation and support pages.
FastMCP Official Website
Learn the basics of the FastMCP framework.
GitHub Code Repository
Download the source code and participate in development.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.7K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
9.0K
4 points
P
Paperbanana
Python
9.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.9K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.2K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.2K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.3K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.8K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
23.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase