"Discover" matching MCP servers:

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.

Enables AI clients to discover, occupy, and operate LAN hardware devices that speak the BMAHS protocol by mapping their actions to MCP tools.

Enables LLM clients to discover, occupy, and control BMAHS protocol hardware devices on the local network by dynamically exposing device operations as MCP tools.

MCP remote control for MiSTer-FPGA. Launch games, search ROMs, take screenshots, auto-discover 70+ retro gaming systems. Single Go binary, zero dependencies.

A Model Context Protocol server for AI agents to discover and control IoT devices through MQTT, using the AIoT Agent Network Protocol for device registration and communication.

Enables MCP clients to discover connected gadgets, read their state and events, and route commands to them over versioned device contracts on local USB and TCP transports. Ships with a configurable software simulator so device interactions can be exercised without physical hardware.

Enables an assistant to locally discover and control supported Sleepme bed devices, check water status, adjust temperatures, retrieve Sleep Tracker reports, and manage saved routines.

Enables AI agents to discover and safely interact with simulated Seeed reBot robotic arms, reading device state and planning dry-run movements with enforced safety limits.

Enables an AI agent to sign in to a user's own Midea air-conditioner cloud account through a local browser page, discover bound devices, read status and capabilities, and send experimental power, temperature, mode and fan-speed controls with a cloud read-back.

MCP server for controlling WiZ smart lights locally via UDP: discover bulbs, power control, color, temperature, and scenes.

Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.

Enables MCP-aware hosts to discover and call tools for listing authorized devices, sending commands, reading telemetry, managing sub-devices, and creating, updating, or deleting device schedules through the API.

Enables AI assistants and MCP clients to inspect camera streams, probe video/audio codecs, capture live JPEG snapshots, generate playback URLs, discover camera integrations, and manage streams dynamically with strict credential redaction.

Enables AI assistants to discover and control IoT devices on local networks and via Bluetooth LE.

Enables AI assistants to discover and control smart TVs on the local network, including power, volume, navigation, and app launching across multiple brands.

Enables AI agents to discover, manage, and stream audio to LAN speakers supporting DLNA, AirPlay, and MiPlay, with playback of URLs, local files, and real-time PCM.

Enables AI assistants to discover and control ZenControl DALI-2 lighting systems through natural language via the ZenControl Cloud API.

Enables AI agents to discover, browse, read, search, and safely write OPC UA industrial device data within controlled edge networks, with guarded two-phase writes and evidence-based root-cause diagnostics.

Enables AI assistants to discover, configure, harden, and troubleshoot multi-brand home and homelab networks through MCP, backed by declarative Terraform/OpenTofu orchestration. Includes safety guardrails, drift detection, snapshots, rollback, and zero-trust device controls.

Enables clients to discover and read authorized vessel telemetry, state snapshots, and historical data, and to inspect and invoke approved read-only core or plugin operations over Streamable HTTP. It reuses the existing Signal K bearer tokens, permissions, and staleness/ACL checks, requiring no extra account, key, listener, or container.

Sensact is a Supabase-hosted remote MCP server that lets LLM clients discover and invoke device capabilities on user-owned devices, using OAuth 2.1 for authorization and Postgres+Realtime as the control plane.

MCP server for controlling Sonos speakers. Currently early scaffolding with a temporary discover tool.

Unifies IoT devices, CLI tools, REST APIs, local scripts, databases, and multi-step workflows behind a single MCP endpoint so agents can discover and invoke them uniformly via tools/list and tools/call. Every call passes through a built-in Guard pipeline providing parameter validation, command-injection blocking, capability-level permissions, multi-dimensional rate limiting, and tamper-evident audit logging.

Enables cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device channels like UART, BLE, and Wi-Fi.

Connects AI assistants to Home Assistant, enabling them to discover and control smart home entities, services, areas, devices, and cameras via the Model Context Protocol.

Enables AI agents to discover, read and control smart-home devices from multiple vendors through a unified capability model, and to author and trigger YAML scenes that a local deterministic engine executes without the AI in the control loop. High-risk actions such as door locks and garage doors are held in a confirmation queue for a human, and every call is written to a local audit log.

Enables AI assistants and autonomous agents to discover, monitor, and control Zigbee2MQTT smart home devices such as lights, switches, sensors, plugs, and thermostats through a standardized Model Context Protocol interface.

A powerful MCP server that enables AI assistants to discover, commission, and control Matter-compatible smart home devices through a standardized interface.

A local stdio server that lets a desktop AI client list TVs approved in the companion desktop app, read a paired LG webOS or Roku TV's status, and send single allowlisted remote buttons with required request IDs. It cannot discover, enroll, pair or forget devices, and pairing keys never appear in tool output.

Enables AI assistants to discover, monitor, and control ZigBee smart home devices through ZigBee2MQTT. Provides intelligent device discovery, state monitoring, and automation integration with support for remote deployment.