"Using AI to control and access data from Home Assistant and smart home devices" matching MCP servers:

Lets an LLM client monitor devices, services, disk usage, and uptime in a home network and home lab.

Enables MCP clients to run read-only health checks against HTTP, TCP, SSL, and Docker targets defined in a single config.json, reporting status codes, latency, certificate expiry, and container state. Nothing is written, restarted, or modified — each probe just opens a connection, reads, and closes it.

Enables AI assistants to control and query a smart-home platform through natural language, including device services, states, automations, scripts, dashboards, history, and system management.

Enables AI assistants to control Home Assistant via natural language, including device control, automation management, and system monitoring.

Enables AI assistants to interact with Home Assistant through natural language, including device control, state queries, service execution, and management of automations, scripts, dashboards, and backups.

AI sysadmin for Home Assistant that provides entity health analysis, automation diagnostics, dashboard analysis, configuration search, and system health scoring via the Model Context Protocol.

A comprehensive smart home automation system that allows AI assistants to control and monitor smart home devices through natural language using the Model Context Protocol (MCP).

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

MCP server for Smart Compost platform that lets LLM agents list composting processes/devices and pull measurements as read-only tools.

Enables AI assistants to monitor and analyze industrial process data from DCS/SCADA systems via MCP protocol, with domain expert knowledge for anomaly detection and recommendations.

Enables LLMs to query real job data and summarize backend job failures using MCP tools backed by a SQLite database.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Read-only MCP server exposing Android phone timeline data, including events, hourly/daily features, data coverage, and gaps, so Claude can answer questions about observed phone activity.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

Enables agents to interact with a GlitchTip instance for issues, events, projects, releases, alerts, uptime monitors, performance, and more via stdio or HTTP.

Query your Juniper Mist network in natural language directly from Claude Desktop, providing read-only access to network inventory, clients, alarms, and more via the Mist API.

A read-only Kubernetes MCP server that enables developers to inspect app status, view pod events, and fetch container logs from dev clusters without requiring full kubectl access.

Enables troubleshooting of LDAP directory services through natural language queries, providing health diagnostics, replication status, performance metrics, log analysis, and configuration comparisons across multiple servers.