A Model Context Protocol (MCP) server that provides AI assistants with access to Home Assistant, enabling smart home control and automation
A Model Context Protocol (MCP) server that provides AI assistants with access to Home Assistant, enabling smart home control and automation management. The ha mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 11 defined tools rather than through you.
Everything the assistant can do here goes through one of these:
ha-mcp — Start the MCP serverCategory — CountEntity — 5Registry — 10Automation — 1Helpers — 2Analysis — 4Services — 2Logs — 1HACS — 1Guidance — 1Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Plenty of monitoring and observability servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Ha MCP's toolset — ha-mcp, Category, Entity and 8 more — is a fair guide to whether it matches your workflow. It is maintained by zorak1103; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| ha-mcp | Start the MCP server |
| Category | Count |
| Entity | 5 |
| Registry | 10 |
| Automation | 1 |
| Helpers | 2 |
| Analysis | 4 |
| Services | 2 |
| Logs | 1 |
| HACS | 1 |
| Guidance | 1 |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.