py-xiaozhi vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	py-xiaozhi by huangjunsen0406	filesystem by modelcontextprotocol
Stars	★ 3,309	★ 85,748
30d uses	—	—
Score	56	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

py-xiaozhi · Summary

A Python-based Xiaozhi AI voice assistant with MCP tools integration, supporting GUI/CLI/GPI interfaces and multimodal interactions.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

py-xiaozhi · Use cases

Voice-controlled desktop assistant with multimodal capabilities
Home automation through voice commands and tool integration
Development platform for custom voice assistant applications

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

py-xiaozhi · Install

# Clone repository
git clone https://github.com/huangjunsen0406/py-xiaozhi.git
cd py-xiaozhi

# Install dependencies (CLI/GPIO mode)
uv sync
# or: pip install -e .

# Install with GUI support
uv sync --extra gui
# or: pip install -e '.[gui]'

# Run the application
python main.py  # GUI mode (default)
python main.py --mode cli  # CLI mode
python main.py --protocol mqtt  # MQTT protocol

For Claude Desktop integration, add to claude_desktop_config.json:

{
  "mcpServers": {
    "xiaozhi": {
      "command": "python",
      "args": ["/path/to/py-xiaozhi/main.py"]
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.