"Using MCP server to manage GitHub Actions" matching MCP servers:

Lets AI assistants control the physical Return to Dark Tower board game tower via Bluetooth, enabling connection, calibration, sound, lights, drum rotation, seal breaking, and game sequences through natural language.

MCP server for full Home Assistant control, enabling AI agents to manage dashboards, automations, files, apps, entities, and more via REST API, WebSocket, and SSH.

MCP server for the AIRIOT IoT platform, enabling AI assistants to manage data tables, records, devices, alarms, files, and more through natural language.

A server built on the Model Context Protocol that enables controlling the Unitree Go2 robot using natural language commands, which are translated into ROS2 instructions for the robot to perform corresponding actions.

Enables MCP-compatible AI clients to safely control Home Assistant devices and query MQTT sensors through natural language, using allowlist-guarded actions and pre-defined automations.

Enables managing UniFi networks through natural language, allowing users to monitor clients, check network health, and perform device actions like blocking or restarting access points. It securely connects UniFi Controllers to MCP clients with features like Google OAuth authentication.

A Model Context Protocol server for controlling LIFX smart lights, enabling AI assistants to manage power, color, brightness, effects, and scenes.

An MCP server that enables AI assistants to manage LoRaWAN devices on Actility ThingPark, allowing device listing, details, and downlink command sending via natural language.

Exposes Fing network devices and presence data to MCP clients over HTTP using both Streamable HTTP and SSE.

Control telescopes, cameras, and focusers with AI through natural language, using any ASCOM Alpaca device.

Minimal in-memory Node.js server for the Gatepass gate-control prototype, exposing a REST API and an MCP tool (open_gate) to manage shared gate state.

MCP server to manage your Aranet4 CO2 sensor, enabling scanning, data fetching, historical querying, and plotting.

A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.

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.

Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.

Provides AI agents with real-time physical perception data including object detections, positions, sounds, and environmental readings via MCP tools.

MCP server for Hubitat Elevation hubs that controls devices via the Maker API, with optional gated access to undocumented admin routes, supporting device listing, command sending, virtual device and hub variable automation for Rule Machine, and hub management features.

Provides read-only access to SaaS_A's management REST API, allowing users to inspect tenants, users, groups, devices, formats, and export observation data as CSV from MCP clients. It uses only GET requests, so no write operations are possible.

Enables control of Sprut.hub smart home devices through dynamic API discovery and schema validation.