MCP ServersiMessage Query MCP Server
Created at 2 months ago
by hannesrudolph
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.
Categories
Tags
mcp
llm
mcp-server
What is iMessage Query MCP Server?
The iMessage Query MCP Server is an MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). Built with the FastMCP framework and the imessagedb library, it allows large language models (LLMs) to query and analyze iMessage conversations while ensuring proper phone number validation and attachment handling.
How to use iMessage Query MCP Server?
To use the server, clone the repository from GitHub, install the necessary dependencies, and choose your preferred installation option for either Claude Desktop or the Cline VSCode plugin.
Key features of iMessage Query MCP Server?
- Safe, read-only access to the iMessage database
- Support for querying message histories with date filtering
- Proper phone number validation with comprehensive handling of attachments
- Integration capabilities with LLMs for advanced query capabilities
Use cases of iMessage Query MCP Server?
- Analyzing conversation histories for personal insights.
- Integrating with AI models to extract useful information from iMessage databases.
- Automating the reporting of message trends or statistics over time.
FAQ from iMessage Query MCP Server?
- Is this server compatible with all versions of macOS?
Yes, it requires macOS but is compatible with versions supporting the iMessage database.
- How do I ensure data security?
The server provides read-only access, ensuring your messages are not altered, along with features for attachment handling that maintans privacy.
- Can I query messages without a phone number?
No, proper phone number validation is required for all queries to maintain data integrity.
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