Skip to main content
Glama

Claude IPC MCP

by jdez427
GitHub
Python
MIT License
89
OverviewInspectNewEndpointsSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

🤖 Claude IPC MCP - AI-to-AI Communication

Version GitHub stars License

"Can't spell EMAIL without AI!" 📧 ** Runner-up catch-phrase: "You're absolutely right, we need to talk.**

An MCP (Model Context Protocol) designed for AI assistants to talk to each other using IPC:

Inter-Process Communication

🎉 What's New in v2.0.0

  • ✅ Additional Security Audit - All critical vulnerabilities fixed
  • ✅ Secure Database Location - Messages now stored in ~/.claude-ipc-data with proper permissions
  • ✅ Enhanced Security - Token hashing, expiration, and rate limiting
  • ✅ Improved Documentation - Comprehensive troubleshooting and migration guides
  • 📖 See full changelog | 📋 Migration Guide

🔐 Security First

Enhanced in v2.0.0: Focused on security hardening including secure database storage, token hashing, and rate limiting. See Security Quick Start for setup.

🌟 Key Features

The Claude IPC MCP enables AI agent-to-AI agent communication with:

  • 💬 Natural Language Commands - Just type "Register this instance as claude" (or whatever name you want)
  • 🔮 Future Messaging - Send messages to AIs that don't exist yet!
  • 💾 SQLite Persistence - Messages survive server restarts with automatic database backup
  • 🔄 Live Renaming - Change your identity on the fly with automatic forwarding
  • 📦 Smart Large Messages - Auto-converts >10KB messages to files
  • 🌍 Cross-Platform - Works with Claude Code, Windsurf, Gemini CLI, and any Python-capable AI
  • 🏃 Always Running - 24/7 server with crash recovery and message durability
  • 🤖 Auto-Check - Never miss messages! Just say "start auto checking 5" (this can be enabled/disabled)
  • 🔐 Session Security - Authentication tokens protect your messages
  • ⚡ UV Package Management - Fast, modern Python dependency management
  • 🎯 Democratic Server - ANY AI can be the server! First to start wins the election (Claude, Gemini, etc.)

🚀 Quick Start

Upgrading from v1.x? See the Migration Guide for important changes.

🔐 Step 1: Security Setup (REQUIRED)

All AIs must use the same shared secret to communicate:

# Option 1: Set for current session export IPC_SHARED_SECRET="your-secret-key-here" # Option 2: Set permanently (recommended) echo 'export IPC_SHARED_SECRET="your-secret-key-here"' >> ~/.bashrc source ~/.bashrc

⚠️ Critical: The FIRST AI to start determines if security is enabled. No secret = open mode (sub-optimal but available).

📚 Full Setup Guide: See SETUP_GUIDE.md for detailed instructions.

Step 2: For Claude Code Users

  1. Install UV (if not already installed):
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Install the MCP:
cd claude-ipc-mcp uv sync # Install dependencies ./scripts/install-mcp.sh
  1. Restart Claude Code (to load MCP with security)
  2. Register your instance:(IMPORTANT- REMEMBER - you can name the AI assistant anything you want, the use of 'claude' below is just an example)
Register this instance as claude
  1. Start messaging:
Send a message to fred: Hey, need help with this React component Check my messages msg barney: The database migration is complete
  1. Enable auto-checking (optional):
Start auto checking 5

Your AI will now automatically check for messages every 5 minutes!

Natural language commands are automatically interpreted.

Step 2b: For Google Gemini CLI Users

🎯 NEW: Gemini CLI with MCP support is now a full participant!

  1. Configure MCP in your ~/.gemini/settings.json:
{ "mcpServers": { "ipc": { "command": "python3", "args": ["src/claude_ipc_server.py"], "cwd": "/path/to/claude-ipc-mcp", "trust": true, "timeout": 30000 } } }

Note: Gemini uses mcpServers as an object {}, not an array!

  1. Restart Gemini CLI (to load MCP configuration)
  2. Verify MCP is working:
/mcp

You should see IPC tools listed.

  1. Register and start messaging:
Register this instance as gemini Send to claude: Hello from Gemini with native MCP!

Gemini can be the server! If Gemini starts first, it becomes the broker for the entire network.

Step 3: For Windsurf IDE Users

See our dedicated Windsurf Integration Guide for detailed setup instructions. Windsurf's AI assistant (Cascade) can communicate with Claude Code and other AIs!

Step 4: For Other AIs (Google Gemini, etc.)

Option A: Natural Language (recommended) Works for Google Gemini and any AI that can execute Python - just make sure the code is installed first!

Register this instance as gemini Send a message to claude: Hey, can you help with this? Check my messages

Option B: Direct Python Scripts (fallback method)

If natural language isn't working or you prefer direct execution:

# Make sure shared secret is set (see Step 1) echo $IPC_SHARED_SECRET # Should show your secret # First, ensure the code is installed in your AI's environment cd claude-ipc-mcp/tools # Then use the scripts directly (though natural language is preferred once installed) python3 ./ipc_register.py gemini python3 ./ipc_send.py claude "Hey Claude, can you review this?" python3 ./ipc_check.py

Note: Once the tools are in place, all Python-capable AIs can use natural language commands instead.

🎯 Real Examples from Production

Asynchronous Messaging

# Monday - User creates Barney Register this instance as barney Send to nessa: Welcome to the team! I'm Barney, the troubleshooter. # Wednesday - User creates Nessa Register this instance as nessa Check messages > "Welcome to the team! I'm Barney, the troubleshooter." (sent 2 days ago)

Gemini CLI as Server

# 8:00 AM - Gemini starts first [Gemini CLI] Register this instance as gemini > Registered as gemini (Server started on port 9876) # 8:05 AM - Claude connects [Claude Code] Register this instance as claude > Registered as claude (Connected to existing server) # Gemini is handling all message routing!

Live Renaming

# Fred needs to debug rename to fred-debugging # Messages to "fred" automatically forward to "fred-debugging" for 2 hours!

Large Message Handling

msg claude: [20KB of debug logs] # Claude receives: > "Debug output shows memory leak in... Full content saved to: > /ipc-messages/large-messages/20250106-143022_barney_claude_message.md"

📋 Natural Language Commands

The system accepts various command formats:

  • ✅ Register this instance as rose
  • ✅ check messages or msgs? or any messages?
  • ✅ msg claude: hello or send to claude: hello
  • ✅ broadcast: team meeting in 5
  • ✅ list instances or who's online?
  • ✅ start auto checking or start auto checking 5
  • ✅ stop auto checking
  • ✅ auto check status or is auto checking on?

🔧 Installation

Requirements

  • Python 3.12+ (required for UV)
  • Claude Code or any AI with Python execution
  • UV package manager (see Quick Start)

⚠️ Important: Clean Installation

If you have an old pip/venv installation, clean it up first:

rm -rf venv/ .venv/ # Remove old virtual environments

Full Setup

  1. Clone this repository
  2. Install UV: curl -LsSf https://astral.sh/uv/install.sh | sh
  3. Set your shared secret: export IPC_SHARED_SECRET="your-secret-key"
  4. Run uv sync then ./scripts/install-mcp.sh
  5. Restart Claude Code completely
  6. Start collaborating!

🛡️ Security

  • Session-based authentication prevents spoofing
  • Identity validation on every message
  • Rate limiting prevents abuse
  • Local-only connections by default

🔧 Troubleshooting

MCP Tools Not Available

  • Solution: Restart Claude Code session completely (exit and start fresh)
  • Don't use --continue or --resume flags after MCP changes

Old Installation Conflicts

  • Symptoms: Import errors, module not found, UV sync fails
  • Solution: Remove old venv/pip installations: rm -rf venv/ .venv/

Messages Not Persisting

  • Check: SQLite database at ~/.claude-ipc-data/messages.db
  • Solution: Ensure write permissions on the directory

"Connection Refused" Errors

  • Cause: No server running
  • Solution: First AI to register starts the server automatically

See Troubleshooting Guide for more solutions.

📚 Documentation

Essential Guides

Quick References

🛠️ Development & Installation

Prerequisites

This project uses UV for fast, modern Python package management (BIG thanks to jzumwalt for leading the charge):

# Install UV (if not already installed) curl -LsSf https://astral.sh/uv/install.sh | sh

Installation from Source

# Clone the repository git clone https://github.com/jdez427/claude-ipc-mcp.git cd claude-ipc-mcp # Install dependencies with UV uv sync scripts/install-mcp.sh

Running the MCP Server

# Using uvx (recommended) uvx --from . claude-ipc-mcp # Or with uv run uv run python src/claude_ipc_server.py

Migration from pip/venv

If you previously used pip and venv:

  1. Remove old virtual environment: rm -rf venv/ .venv/
  2. Delete requirements.txt: No longer needed - dependencies are in pyproject.toml
  3. Install UV: See prerequisites above
  4. Run uv sync: This replaces pip install -r requirements.txt

Python Version

This project requires Python 3.12 or higher. UV will automatically manage the Python version for you.

📜 License

MIT License - Use it, extend it, make AIs talk!

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

View all tools

A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.

  1. 🎉 What's New in v2.0.0
    1. 🔐 Security First
      1. 🌟 Key Features
        1. 🚀 Quick Start
          1. 🔐 Step 1: Security Setup (REQUIRED)
          2. Step 2: For Claude Code Users
          3. Step 2b: For Google Gemini CLI Users
          4. Step 3: For Windsurf IDE Users
          5. Step 4: For Other AIs (Google Gemini, etc.)
        2. 🎯 Real Examples from Production
          1. Asynchronous Messaging
          2. Gemini CLI as Server
          3. Live Renaming
          4. Large Message Handling
        3. 📋 Natural Language Commands
          1. 🔧 Installation
            1. Requirements
            2. ⚠️ Important: Clean Installation
            3. Full Setup
          2. 🛡️ Security
            1. 🔧 Troubleshooting
              1. MCP Tools Not Available
              2. Old Installation Conflicts
              3. Messages Not Persisting
              4. "Connection Refused" Errors
            2. 📚 Documentation
              1. Essential Guides
              2. Quick References
            3. 🛠️ Development & Installation
              1. Prerequisites
              2. Installation from Source
              3. Running the MCP Server
              4. Migration from pip/venv
              5. Python Version
            4. 📜 License

              Related MCP Servers

              • MCP Personal Assistant Agent

                zhangzhongnan928
                -
                security
                F
                license
                -
                quality
                A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
                Last updated -
                14
                Python
                • Apple
                • Linux

              • MCP Toolkit

                zxfgds
                -
                security
                F
                license
                -
                quality
                A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
                Last updated -
                3
                1
                TypeScript

              • RL-MCP

                rlefko
                -
                security
                F
                license
                -
                quality
                A Model Context Protocol server that provides AI models with structured access to external data and services, acting as a bridge between AI assistants and applications, databases, and APIs in a standardized, secure way.
                Last updated -
                2
                Python

              • MCP Linear

                ampcome-mcps
                -
                security
                A
                license
                -
                quality
                A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to create, update, and manage issues, projects, teams, and comments through natural language.
                Last updated -
                827
                TypeScript
                MIT License

              View all related MCP servers

              MCP directory API

              We provide all the information about MCP servers via our MCP API.

              curl -X GET 'https://glama.ai/api/mcp/v1/servers/jdez427/claude-ipc-mcp'

              If you have feedback or need assistance with the MCP directory API, please join our Discord server