VME Infrastructure Management CLI Tool - Chat interface with voice commands
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# VME MCP CLI Rich terminal chat interface for VME infrastructure management with voice support. ## Installation ```bash # Basic installation pip install vme-mcp-cli # With audio support for voice commands pip install "vme-mcp-cli[audio]" ``` ## MCP Server Requirement The VME MCP CLI requires an MCP server to communicate with your VME/Morpheus infrastructure. The server package (`vme-mcp-server`) is not yet available on PyPI. **For installation instructions**, see the [main repository](https://github.com/frippe75/vme-fastmcp-server-v2). ### Remote Server Option If you have a remote MCP server running, configure it in your config file: ```yaml server: servers: vme: transport: http path_or_url: http://your-server:8080 ``` ## Quick Start ```bash # 1. Create default configuration vme-mcp-cli config # 2. Set your API credentials export VME_API_BASE_URL=https://your-vme.com/api export VME_API_TOKEN=your-token export ANTHROPIC_API_KEY=your-anthropic-key export OPENAI_API_KEY=your-openai-key # Optional: for voice features # 3. Start the chat interface vme-mcp-cli # Or with debug output vme-mcp-cli --debug-level 3 ``` ## Configuration Config file location: - Linux/Mac: `~/.config/vme-cli/config.yaml` - Windows: `%APPDATA%\vme-cli\config.yaml` ### Default Configuration ```yaml llm: anthropic_key: ${ANTHROPIC_API_KEY} default_provider: anthropic default_model: claude-3-5-sonnet-20241022 server: servers: vme: name: "vme" transport: "stdio" command: "vme-mcp-server" # Requires server package installed env: VME_API_BASE_URL: ${VME_API_BASE_URL} VME_API_TOKEN: ${VME_API_TOKEN} VME_LAZY_LOADING: "true" # Fast startup with on-demand tool loading audio: enabled: false voice: "alloy" # OpenAI voice options: alloy, echo, fable, onyx, nova, shimmer ui: theme: github_dark show_thinking_indicator: true ``` ### Environment Variables The CLI supports environment variable substi…
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