# OpenClaw-xiaozhi MCP Server

> Use this tool when you need to integrate MCP-compatible clients with AI-powered task processing and real-time communication. It solves problems of asynchronous task execution and intent-based query handling, enabling users to send intents and execute tasks via a suite of tools. The server accepts intent and task requests as input and outputs query results in real-time via WebSocket communication.

Canonical page: https://skillsregistry.net/skills/19147951441-openclaw-xiaozhi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/19147951441-openclaw-xiaozhi-mcp-server

## Description

A bridge server that connects MCP-compatible clients to the OpenClaw (Jarvis) AI assistant for asynchronous task processing and real-time WebSocket communication. It enables users to send intents, execute tasks, and query results using a suite of tools including process_intent, ask_jarvis, and execute_task.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aql3gtsd3o)
- **Repository:** <https://github.com/19147951441/OpenClaw--xiaozhi-MCP-Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "19147951441-openclaw-xiaozhi-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/19147951441-openclaw-xiaozhi-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/19147951441-openclaw-xiaozhi-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt