"Using AI to control and access data from Home Assistant and smart home devices" matching MCP servers:

A starter MCP server for running local tools and resources on a home machine or NAS, enabling secure access from AI assistants like Kody.

A dynamic MCP server that hot-reloads tools at runtime and provides URL tracking, onboarding, and scouting features for AI clients.

A specialized MCP server for detailed control of Home Assistant lights, supporting advanced features like RGB colors, color temperatures, effects, and robust scene management. It includes specific fixes for IKEA Tradfri devices and intentionally focuses on lights only to ensure home safety.

Enables an AI assistant to set up and maintain a smart-home instance by adding integrations through config flows, editing registries, and building or debugging automations, scripts, scenes, helpers, dashboards, and blueprints. It also covers diagnostics, repairs, trace inspection, and backup management, with read-only and confirmation safeguards.

Enables AI agents to safely work on Windows developer workstations through governed, project-scoped filesystem access, durable command execution, bounded search, Windows operations, and resource-aware runtime controls. It also supports optional developer-context backends for code navigation, repository graph exploration, and memory retrieval.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

A storage-backed MCP server for sharing durable project context between trusted coding agents, with project discovery, optimistic concurrency, and timestamped handoffs.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Intelligent AI routing and integration platform for seamless provider switching

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Assists AI developers with intelligent requirement analysis and architecture design through guided clarification questions, branch-aware management, and automated architecture generation with persistent storage.

Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.

A self-hosted MCP control plane and protocol gateway that aggregates and manages multiple MCP servers, exposing them via stable, authenticated MCP endpoints for any client.

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.

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

Lets AI agents and developers inspect and query local MySQL, Redis, and MongoDB instances over STDIO or authenticated loopback HTTP, with read-only defaults and allowlisted non-production writes that require explicit opt-in. Production connections always reject writes, and database-enforced read-only accounts are recommended.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.