# Implementation Status ## Overview This document tracks the implementation progress of the Atlas voice agent system. **Last Updated**: 2026-01-06 ## Completed Implementations ### ✅ TICKET-029: Minimal MCP Server **Status**: ✅ Complete and Running **Location**: `home-voice-agent/mcp-server/` **Components Implemented**: - ✅ JSON-RPC 2.0 server (FastAPI) - ✅ Tool registry system - ✅ Echo tool (testing) - ✅ Weather tool (stub) - ✅ Time/Date tools (4 tools) - ✅ Error handling - ✅ Health check endpoint - ✅ Test script **Tools Available**: 1. `echo` - Echo tool for testing 2. `weather` - Weather lookup (stub) 3. `get_current_time` - Current time with timezone 4. `get_date` - Current date information 5. `get_timezone_info` - Timezone info with DST 6. `convert_timezone` - Convert between timezones **Server Status**: ✅ Running on http://localhost:8000 **Root Endpoint**: Returns enhanced JSON with: - Server status and version - Tool count (6 tools) - List of all tool names - Available endpoints **Test Results**: All 6 tools tested and working correctly ### ✅ TICKET-030: MCP-LLM Integration **Status**: ✅ Complete **Location**: `home-voice-agent/mcp-adapter/` **Components Implemented**: - ✅ MCP adapter class - ✅ Tool discovery - ✅ Function call → MCP call conversion - ✅ MCP response → LLM format conversion - ✅ Error handling - ✅ Health check - ✅ Test script **Test Results**: ✅ All tests passing - Tool discovery: 6 tools found - Tool calling: echo, weather, get_current_time all working - LLM format conversion: Working correctly - Health check: Working **To Test**: ```bash cd mcp-adapter pip install -r requirements.txt python test_adapter.py ``` ### ✅ TICKET-032: Time/Date Tools **Status**: ✅ Complete **Location**: `home-voice-agent/mcp-server/tools/time.py` **Tools Implemented**: - ✅ `get_current_time` - Local time with timezone - ✅ `get_date` - Current date - ✅ `get_timezone_info` - DST and timezone info - ✅ `convert_timezone` - Timezone conversion **Status**: ✅ All 4 tools implemented and tested **Note**: Server restarted and all tools loaded successfully ### ✅ LLM Server Setup Scripts **Status**: ✅ Setup scripts ready **TICKET-021: 4080 LLM Server** - ✅ Setup script created - ✅ Systemd service file created - ✅ README with instructions - ⏳ Pending: Actual server setup (requires Ollama installation) **TICKET-022: 1050 LLM Server** - ✅ Setup script created - ✅ Systemd service file created - ✅ README with instructions - ⏳ Pending: Actual server setup (requires Ollama installation) ## In Progress None currently. ## Pending Implementations ### ⏳ Voice I/O Services **TICKET-006**: Prototype Wake-Word Node - ⏳ Pending hardware - ⏳ Pending wake-word engine selection **TICKET-010**: Implement ASR Service - ⏳ Pending: faster-whisper implementation - ⏳ Pending: WebSocket streaming **TICKET-014**: Build TTS Service - ⏳ Pending: Piper/Mimic implementation ### ⏳ Integration **TICKET-023**: Implement LLM Routing Layer - ⏳ Pending: Routing logic - ⏳ Pending: LLM servers running ### ⏳ More Tools **TICKET-031**: Weather Tool (Real API) - ⏳ Pending: Replace stub with actual API **TICKET-033**: Timers and Reminders - ⏳ Pending: Timer service implementation **TICKET-034**: Home Tasks (Kanban) - ⏳ Pending: Task management implementation ### ⏳ Clients **TICKET-039**: Phone-Friendly Client - ⏳ Pending: PWA implementation **TICKET-040**: Web LAN Dashboard - ⏳ Pending: Web interface ## Next Steps ### Immediate 1. ✅ **MCP Server** - Complete and running with 6 tools 2. ✅ **MCP Adapter** - Complete and tested, all tests passing 3. ✅ **Time/Date Tools** - All 4 tools implemented and working ### Ready to Start 3. **Set Up LLM Servers** (if hardware ready) ```bash # 4080 Server cd llm-servers/4080 ./setup.sh # 1050 Server cd llm-servers/1050 ./setup.sh ``` ### Short Term 4. **Integrate MCP Adapter with LLM** - Connect adapter to LLM servers - Test end-to-end tool calling 5. **Add More Tools** - Weather tool (real API) - Timers and reminders - Home tasks (Kanban) ## Testing Status - ✅ MCP Server: Running and fully tested (6 tools) - ✅ MCP Adapter: Complete and tested (all tests passing) - ✅ Time Tools: All 4 tools implemented and working - ✅ Root Endpoint: Enhanced JSON with tool information - ⏳ LLM Servers: Setup scripts ready, pending server setup - ⏳ Integration: Pending LLM servers ## Known Issues - None currently - all implemented components are working correctly ## Dependencies ### External Services - Ollama (for LLM servers) - Installation required - Weather API (for weather tool) - API key needed - Hardware (microphones, always-on node) - Purchase pending ### Python Packages - FastAPI, Uvicorn (MCP server) - ✅ Installed - pytz (time tools) - ✅ Added to requirements - requests (MCP adapter) - ✅ In requirements.txt - Ollama Python client (future) - For LLM integration - faster-whisper (future) - For ASR - Piper/Mimic (future) - For TTS --- **Progress**: 16/46 tickets complete (34.8%) - ✅ Milestone 1: 13/13 tickets complete (100%) - ✅ Milestone 2: 3/19 tickets complete (15.8%) - ✅ TICKET-029: MCP Server - ✅ TICKET-030: MCP-LLM Adapter - ✅ TICKET-032: Time/Date Tools