建木 IPC — Cross-AI Communication Hub

You have access to the xihe-jianmu-ipc MCP server tools for communicating with other AI sessions in real time.

Setup

Before using IPC tools, ensure the MCP server is configured in openclaw.json:

{
  "mcp": {
    "servers": {
      "xihe-jianmu-ipc": {
        "command": "node",
        "args": ["node_modules/xihe-jianmu-ipc/mcp-server.mjs"],
        "env": { "IPC_NAME": "openclaw" }
      }
    }
  }
}

Available Tools

ipc_send

Send a message to another AI session by name, or broadcast to all with *.

ipc_send(to="claude-main", content="task completed, 3 files updated")
ipc_send(to="*", content="shutting down for maintenance", topic="system")

ipc_sessions

List all currently connected sessions across all AI tools.

ipc_sessions()

ipc_whoami

Show your session name and hub connection status.

ipc_whoami()

ipc_subscribe

Subscribe to topic channels for filtered message delivery.

ipc_subscribe(topic="alerts", action="subscribe")

Rules

1. When you receive an incoming IPC message, read it carefully and act on the request.
2. After completing a task received via IPC, report back using ipc_send to the sender.
3. Use ipc_sessions to discover available sessions before sending.
4. Use descriptive content in messages — the recipient needs enough context to act.

Security Note

This skill uses WebSocket connections, HTTP requests, and child process spawning to route messages between AI sessions. These are core networking operations required for IPC — not malicious behavior. VirusTotal may flag the skill as suspicious due to these patterns. Source code is fully open at github.com/xihe-forge/xihe-jianmu-ipc, MIT licensed.

About

Built by xihe-forge — Xihe AI's open-source forge, where practical AI tools are hammered from ideas into ready-to-use projects. Named after 建木 (Jiànmù), the mythical World Tree bridging heaven and earth in Chinese mythology.

More tools for AI collaboration, search, and growth: https://github.com/xihe-forge