Using Claude Code with ha-mcp for Home Assistant automation

Claude Code can be integrated with Home Assistant using the ha-mcp tool, allowing AI-assisted configuration and automation of smart home systems. According to a developer's experience shared on Reddit, this combination enables rapid development of Home Assistant components through natural language prompts.
Setup and configuration details
The developer describes a specific setup: Claude Code running on a Windows desktop connected to a Home Assistant installation via ha-mcp. They mention using network share access to the Home Assistant OS (HAOS) directory and Claude for Chrome as part of their workflow. The developer upgraded to Claude Max 5x from Pro because they found Pro too limiting for this type of project work.
Practical applications demonstrated
The source describes several concrete use cases:
- Big design changes to Home Assistant configuration
- Creation of new dashboards through detailed prompts
- Setup of a solar charging system from scratch after providing requirements
The developer reports significant time savings: tasks that previously took at least a week were completed in 12-14 hours using this approach. They contrast this with previous methods that required more coding knowledge and resulted in "wonky" dashboards that "kind of worked."
The key workflow described involves giving detailed prompts about preferences to Claude Code, which then handles the configuration work. The developer specifically mentions that with Claude Code, configuration becomes "as easy as giving a detailed prompt about preferences."
📖 Read the full source: r/ClaudeAI
👀 See Also

The Left-Wing Case for AI: Disability, Chronic Illness, and Class
Sean Goedecke argues that LLMs serve left-wing values by aiding disabled people, helping chronic illness patients navigate medical gatekeeping, and enabling class code-switching to bureaucratic language.

Persistent AI Memory via Obsidian MCP: 16 Tools for Claude Cowork
A custom MCP server bridges Claude Cowork with Obsidian for persistent memory across sessions, using 16 tools and Dataview queries.

Case Study: Using LLM Prompts Instead of Programmatic Scaffolding for Multi-Agent Software Builds
A case study of 10 autonomous software builds using a Claude Opus orchestrator with CLI access and Codex worker agents produced 10 TypeScript browser games totaling over 50,000 lines of code with zero human code intervention. The orchestration logic was entirely prompt-based, replacing a purpose-built scaffold.

Building Jarvis: A Self-Hosted AI Operations Layer with OpenClaw
A developer shares their architecture for a personal AI assistant running on a Mac mini 24/7, using OpenClaw, n8n, Obsidian, and a cascade of AI models to manage small business operations.