Claude IPC

v1.0.0Communicationstable

AI-to-AI communication protocol for Claude, Gemini, and other AI assistants

ai-messagingclaude-codecommunication-protocolgemini-cliipc
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What is Claude IPC?

Claude IPC is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai-to-ai communication protocol for claude, gemini, and other ai assistants

AI-to-AI communication protocol for Claude, Gemini, and other AI assistants

This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • AI-to-AI communication protocol for Claude, Gemini, and othe

Use Cases

Facilitate AI-to-AI communication across Claude and Gemini.
Build multi-agent systems with cross-platform compatibility.
jdez427

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 13, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx claude-ipc

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Claude IPC

Claude IPC is a Model Context Protocol server that enables AI assistants — including Claude Code, Gemini CLI, and other MCP-compatible agents — to communicate with each other using inter-process communication (IPC). Acting like 'email for AIs', it lets each AI instance register itself with a name, send messages to other named instances, check an inbox, and discover connected agents. This enables multi-agent workflows where different AI tools running on the same machine can delegate tasks, share results, and collaborate asynchronously using natural language commands with no custom code required.

Prerequisites

  • Python 3.10+ installed
  • uv package manager installed: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Git installed for cloning the repository
  • At least two MCP-compatible AI clients (e.g., Claude Code and Gemini CLI) to use multi-agent communication
1

Clone the repository

Clone the claude-ipc-mcp repository to your local machine.

git clone https://github.com/jdez427/claude-ipc-mcp.git
cd claude-ipc-mcp
2

Install dependencies with uv

Use uv to install the project dependencies into a virtual environment.

uv sync
3

Run the MCP installer script

Execute the provided install script to register the server with your MCP clients automatically.

./scripts/install-mcp.sh
4

Add the server to your MCP client config manually (if needed)

If the install script does not cover your specific MCP client, add the server configuration manually to your client's config file, pointing to the cloned repo path.

{
  "mcpServers": {
    "claude-ipc": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/claude-ipc-mcp", "python", "-m", "claude_ipc_mcp"]
    }
  }
}
5

Register each AI instance and start messaging

Once configured, each AI agent should register itself with a unique name using the natural language command 'Register this instance as [name]'. Then send messages using 'Send message to [recipient]: [content]'.

Claude IPC Examples

Client configuration

Claude Desktop configuration for the claude-ipc server using uv to run the Python module from the cloned repo.

{
  "mcpServers": {
    "claude-ipc": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/claude-ipc-mcp",
        "python",
        "-m",
        "claude_ipc_mcp"
      ]
    }
  }
}

Prompts to try

Example natural language commands for AI-to-AI communication using the IPC protocol.

- "Register this instance as claude"
- "List all registered AI instances"
- "Send message to gemini: Can you help analyze this database schema?"
- "Check messages" (to retrieve pending messages in your inbox)
- "Send message to claude: I've finished the data analysis, here are the results: ..."
- "List instances" (to discover which AI agents are currently connected)

Troubleshooting Claude IPC

Install script fails with permission denied

Make the script executable first: 'chmod +x ./scripts/install-mcp.sh', then run it again. If it still fails, manually add the server config to your MCP client's JSON configuration file.

Messages sent to another AI instance are never received

Both AI instances must be running simultaneously with the same IPC server. Ensure both agents have the claude-ipc MCP server configured and active, and that both have registered with distinct names using 'Register this instance as [name]'.

uv command not found after installation

Reload your shell environment: run 'source ~/.bashrc' or 'source ~/.zshrc'. The uv installer modifies PATH but requires a shell restart. Verify with 'which uv'.

Frequently Asked Questions about Claude IPC

What is Claude IPC?

Claude IPC is a Model Context Protocol (MCP) server that ai-to-ai communication protocol for claude, gemini, and other ai assistants It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Claude IPC?

Follow the installation instructions on the Claude IPC GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Claude IPC?

Claude IPC works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Claude IPC free to use?

Yes, Claude IPC is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Communication MCP Servers

Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "claude-ipc": { "command": "npx", "args": ["-y", "claude-ipc"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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