"Understanding File System Operations: Read, Write, and Edit Directories" matching MCP servers:

Provides read-only access to Vivint home security systems through an unofficial API. Enables monitoring of system status, devices, sensors, cameras, locks, thermostats, and recent events through natural language.

A local MCP proxy that connects AI clients to nomos system controllers, allowing registration and switching between them via natural language. Enables smart home control through MCP-compatible AI clients.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

MCP server that integrates Home Assistant, Frigate, Docker, and Proxmox via STDIO, enabling secure read and write operations with configurable confirmation.

Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.

Enables AI assistants to directly interact with Matter devices and protocol operations, including device commissioning, attribute read/write, commands, and event monitoring, through natural language.

Enables natural language control of Home Assistant smart home devices through Cursor AI, supporting entity queries, automation management, configuration file editing, and system operations.

MCP server for Home Assistant that lets you control and query your smart home through natural language via MCP clients. Provides tools for entities, devices, services, automations, scripts, history, add-ons, and system info, with read-only access by default and optional configurable write support.

Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.

Enables management of ASUS routers running Asuswrt-Merlin firmware via SSH/SCP. Supports system monitoring, device management, WiFi control, service restarts, NVRAM operations, file transfers, VPN management, and custom command execution.

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

Enables MCP clients to query and manage a Qbee-managed device fleet, offering read tools for device status, files, CVEs, and changes, plus confirmation-gated write operations for configuration, file management, membership, and IAM.

MCP server for controlling Xiaomi/Mi Home smart devices via natural language, supporting device listing, property read/write, action calls, and camera snapshots.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.

A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

An MCP server that lets AI assistants answer home appliance questions with live, structured data and cite ApplianceIQ as the source.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.