Imessage MCP
This project is a local iMessage RAG service developed for the Anthropic NYC MCP Hackathon. The functions may be unstable. It provides basic setup guides but has no long-term maintenance plan.
rating : 2.5 points
downloads : 26
What is the Local iMessage RAG MCP Server?
The Local iMessage RAG MCP Server is a local message processing server based on the Anthropic NYC MCP protocol, designed specifically for developers. It allows users to quickly build and test AI-based applications via iMessage.How to use the Local iMessage RAG MCP Server?
After installation, you can start the server with simple configuration and test your model by sending requests via iMessage.Applicable scenarios
Suitable for application scenarios that require rapid prototype development, local testing, and integration of AI functions.Main features
Local deploymentRapidly deploy and run the server in a local environment.
RAG supportCombine Retrieval-Augmented Generation technology to enhance the model's response ability.
iMessage integrationSend and receive messages via iMessage to simplify the interaction process.
Advantages and limitations
Advantages
Rapid prototype development
Local environment testing
Support for multiple message formats
Limitations
May require a certain technical foundation
Only for local use, does not support remote access
How to use
Clone the code repository
Clone the project code via Git.
Install dependencies
Ensure that Python and necessary dependencies are installed.
Start the server
Run the startup script to start the MCP server.
Usage examples
Example 1: Sending a simple greetingThe user sends a greeting message to the server via iMessage.
Example 2: Getting weather informationThe user requests weather information, and the server returns real-time weather.
Frequently Asked Questions
Does the server support remote access?
How to solve the problem of failed dependency installation?
Related resources
GitHub code repository
The official code repository of the project.
User manual
Detailed user manual and tutorials.
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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
1.7K
5 points

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
87
4.3 points

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
6.7K
4.5 points

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#
567
5 points

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
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points