"Examples of MCPs (Microservices Communication Protocols) That Do Not Require API Keys" matching MCP servers:

A thin MCP server that securely enables AI agents to interact with Home Assistant, Mealie, and Nirvana via tools for automation, recipe management, and task tracking, while keeping credentials hidden.

Enables users to retrieve guided wellness practices, adapt them to Guna state and worldview, manage consented preferences, create reflective session summaries, and simulate or restore smart-home ambient scenes through MCP tools.

Enables local MCP access to read TRMNL devices and manage playlist items, visibility, ordering, and weekly display windows.

Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.

Enables to retrieve device information, images, media, location, thumbnails, and events from the Safie API through MCP.

A Multi-Agent Conversation Protocol server that provides an interface to Google's Cloud IoT API, allowing agents to interact with and manage IoT devices and registries through natural language.

Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.

Enables MCP-compatible LLMs to control Amazon Alexa devices by sending announcements, text commands, and SSML speech, as well as managing smart-home groups, routines, lists, volume, Do Not Disturb, and sensor queries.

Enables checking what a device or agent reported against independent evidence, answering Worked, Problem found, or Not verified while always showing the evidence and stating its limits. Adds a night check that aggregates results across devices and keeps timing straight, leaving items without independent evidence as Not verified instead of guessing.

An MCP server that lets AI models read and control industrial devices via standardized protocols like Modbus, OPC UA, and MQTT, with simulation and real hardware modes.

MCP server for the OCPI SDK that enables AI-assisted communication with EV charging infrastructure via the Open Charge Point Interface protocol.

Enables AI agents to monitor and control Nokia G-2425G-A GPON home routers (e.g., Airtel) via natural language, including listing connected devices, and blocking or unblocking internet access for specific devices.

An MCP server that enables communication with Twilio's Microvisor API, allowing interaction with IoT devices managed by Twilio's Microvisor through natural language.

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 read-only access to vehicle data via the unofficial Rivian GraphQL API, allowing users to monitor battery levels, OTA updates, and charging status. It provides tools to check vehicle state and user account information directly through Claude.

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.

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.

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