Py Xiaozhi
Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.
by huangjunsen0406 · huangjunsen0406/py-xiaozhi
Install
See GitHub repository for installation instructions.
How to use Py Xiaozhi with Claude
Py Xiaozhi is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to other capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Py Xiaozhi will appear in the available tools list
About Py Xiaozhi
Py Xiaozhi is an open-source MCP server in the Other category, built in Python. It connects Claude and other MCP-compatible clients to other systems directly. Source available on GitHub.
Use cases for Other MCP servers
- →Connect AI agents to specialized external systems
- →Automate custom workflows via API integration
- →Extend Claude capabilities with domain-specific tools
- →Build AI-powered integrations for niche use cases
Where Py Xiaozhi fits in an MCP workflow
Teams use Py Xiaozhi to give Claude a direct bridge into other workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Py Xiaozhi can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to other systems.
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