Claude Ipc MCP
Claude IPC MCP is an inter-process communication protocol designed for CLI AI assistants, supporting natural language communication between AIs, with functions such as message persistence, security authentication, and automatic checking, to achieve cross-platform AI collaboration.
rating : 2.5 points
downloads : 6.7K
What is Claude IPC MCP?
Claude IPC MCP is a model context protocol for inter-process communication (IPC) between CLI (Command Line Interface) artificial intelligence assistants. It allows natural language communication between AI agents, enabling cross-platform, secure, and persistent message passing.How to use Claude IPC MCP?
You can start using it by setting a shared secret and registering AI instances. Users can interact with other AIs through natural language commands, such as sending messages and checking messages.Applicable scenarios
It is suitable for development environments that require the collaboration of multiple AI assistants, such as code review, problem-solving, and task assignment scenarios.Main features
Natural language commands
Users can complete operations such as registration and sending messages by simply entering natural language commands.
Future messages
You can send messages to AIs that do not yet exist, and they will be automatically received after the AI is registered.
SQLite persistence
Use the SQLite database to store messages, ensuring that data is not lost after the server restarts.
Real-time renaming
You can change the identity of an AI at runtime, and messages will be automatically forwarded.
Large message handling
Messages larger than 10KB will be automatically converted to file storage.
Cross-platform compatibility
Supports integration with multiple AI platforms such as Claude Code, Windsurf, and Gemini.
24/7 operation
The server runs around the clock, with crash recovery and message persistence functions.
Automatic checking
You can set up automatic periodic checks for new messages.
Session security
Protect message security through authentication tokens.
UV package management
Use UV for fast and modern Python dependency management.
Advantages
Supports multiple AI platforms to achieve cross-platform communication
Provides natural language commands, easy to use
Message persistence ensures data is not lost
Real-time renaming function enhances flexibility
Automatically handles large messages to optimize the user experience
Limitations
Requires setting a shared secret, which may be slightly complicated for first-time use
Only applicable to AI platforms that support Python execution
Some advanced features require configuration and maintenance
How to use
Set the shared secret
Set the shared secret in the terminal to enable secure mode.
Install MCP
Clone the repository and install the dependencies.
Register an AI instance
Register your AI instance through natural language commands.
Send and check messages
Use natural language commands to send and check messages.
Enable automatic checking
Set up automatic periodic checks for new messages.
Usage examples
Team collaboration
Team members can use different AI assistants for collaboration, such as code review and problem-solving.
Real-time renaming
During the debugging process, you can temporarily change the name of the AI for easy tracking and management.
Large message handling
When a message exceeds 10KB, the system will automatically convert it to file storage.
Frequently Asked Questions
How to set the shared secret?
Which AI platforms does MCP support?
How to enable automatic checking?
What if the message is not saved?
How to upgrade to v2.0.0?
Related resources
GitHub repository
Project source code and the latest version download
Migration guide
Detailed steps for upgrading from v1.x to v2.0.0
Security quick start
Quick guide for security configuration
Setup guide
Complete installation and configuration tutorial
API reference
Protocol specifications and technical details

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