"A server to add framework documentation and use a cursor agent to search it" 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.

Enables Cursor and other MCP-compatible agents to control a Stack-chan robot companion, giving the AI vision, hearing, speech, movement, facial expressions, and environmental sensing.

An MCP server and Home Assistant add-on that enables AI assistants to manage smart homes by creating automations, designing dashboards, and interacting with entities. It features native access to Home Assistant APIs, built-in Git versioning for safe rollbacks, and full management of HACS integrations.

MCP server for Home Assistant — 202 tools across 21 domains; full control of your smart home from Claude / Cursor / VS Code / any MCP client

Enables agents to drive a Coreflux broker end to end over MQTT: running broker commands, publishing and subscribing to live topics, linting and deploying LoT/.lotnb files in order, uploading and exporting projects, tracing actions, and searching docs. Destructive operations are gated behind safety hooks, and no npm dependencies are required beyond Node.js 20+.

An MCP server and CLI for controlling FarmBot hardware, enabling AI agents to manage gardening tasks through tools like gantry movement and device status monitoring. It supports executing Lua scripts and core hardware commands like homing and emergency stops via the Model Context Protocol.

A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.

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

A ModelContextProtocol server that enables Claude AI to detect and scan nearby Bluetooth devices, providing Bluetooth sensing capabilities to Claude through a compatible MCP interface.

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 AI-powered household management including inventory tracking, restock predictions, meal planning from available ingredients, and baby supply monitoring through natural language commands.

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.

Enables an agent to query a synthetic fleet of 400 connected medical devices over MCP, including counting devices, ranking by a stored field, and fetching a single device.

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 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.