Claude Ipc MCP
C

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.
2.5 points
8.2K

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

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.3K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.5K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 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
18.9K
4.5 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
20.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.0K
4.3 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
31.2K
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
58.4K
4.5 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#
27.0K
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
18.8K
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
42.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase