"Kasa Smart" matching MCP servers:

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

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).

A read-only kubectl MCP server for AI assistants. The kubectl verb is hardcoded in each tool (get/describe/logs/events) and user input only fills argument values — no mutation path even with malicious input, and Secret/ConfigMap values are never returned (metadata only). Returns structured JSON, plus one-shot k8s_triage (health scan) and k8s_inventory (cluster snapshot).

Enables intelligent monitoring and management of Zoom rooms across multiple sites using smart location resolution and hierarchical discovery. It provides tools for checking room status, retrieving location hierarchies, and accessing detailed room configurations through the Zoom API.

Exposes homelab and IT-ops tools to Claude, including system health monitoring, Grafana alert states, Docker container status, Loki logs, SMART disk health, and more.

Enhanced Home Assistant MCP server with 22 context efficient tools for smart home control, automation trace debugging, entity registry management, CEL expression queries, and long-term statistics.

MCP server for Homebridge that enables AI assistants to control smart home accessories, manage plugins, edit configuration, and monitor the Homebridge server.

Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.

MCP server for controlling Homey Pro smart home systems, offering 60+ tools for device control, flow authoring, automation, monitoring, and network diagnostics.

Enables AI assistants to access full Datadog observability, including log search, APM trace filtering, smart sampling, and cross-correlation between logs, traces, and metrics.

An MCP server that enables AI assistants to capture and analyze HTTP/HTTPS traffic from Android devices. It supports smart searching of network requests and provides tools for detailed traffic analysis via natural language.

Integrates AI assistants with the Domoticz home automation system to monitor and control smart home devices, scenes, and variables. It enables users to manage device states, room configurations, and system logs through the Model Context Protocol.

A smart debugging agent that remembers errors, automatically diagnoses issues, and accumulates solutions for faster resolution.

Provides cost intelligence and a reputation scoring system to help AI agents optimize spending through smart model selection and local-to-cloud routing. It enables real-time cost tracking and rewards agents for making efficient, high-credibility decisions across various LLM providers.

Enables AI assistants to control and monitor eWeLink CUBE (iHost) smart-home devices through MCP tools—covering device pairing, gateway info, device control, live events, and sensor history—plus a web dashboard.

Enables semantic control and monitoring of openHAB smart home items through natural language, supporting commands, queries, and time-based monitoring tasks.

Brings Outlook.com Smart Network Data Services (SNDS) API into MCP clients, allowing users to query IP reputation data such as volume, complaint rates, and spam verdicts using natural language.

Enables AI assistants to search and analyze logs in Graylog using three powerful tools: generic log search with Lucene queries, smart UUID/trace ID lookup across multiple fields, and stream-specific message retrieval with automatic field normalization.

An MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.

An MCP server that connects Claude to video encoding workflows, enabling smart error translation, real-time job analysis, and automated email drafting for troubleshooting encoding issues.