# altinoren/utopia [Health: Active]

**Category:** 🏠 Home Automation  
**Repository:** https://github.com/altinoren/Utopia  
**GitHub Stars:** 11  
**Views:** 2  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/altinoren-utopia

## Description
⃣ 🏠 - MCP that simulates a set of smart home and lifestyle devices, allowing you to test agent's reasoning and discovery capabilities.

## Tools
Capabilities this server exposes over MCP:

- **HumidityControl** — Monitor and control humidity in each room.
- **AirQualityControl** — Simulate and manage air quality.
- **Lighting** — Control smart lighting in any room.
- **MultiRoomAudio** — Play music or playlists in one or more rooms.
- **Refrigerator** — Provides the picture of contents that can be used to check stock status inside.
- **RobotVacuum** — Simulate a robot vacuum's cleaning schedule and state.
- **SmartBed** — Monitor sleep and provide adjustable climate control.
- **SmartBlinds** — Adjust or schedule the position of smart blinds.
- **SmartLock** — Lock or unlock the front door.
- **SmartThermostat** — Set and monitor room temperatures.
- **AutonomousElectricVehicle** — Simulate an autonomous EV's driving, charging, and trip scheduling. Send to a coordinate, start charging, auto-park.
- **ACMEBank** — Simulate basic banking operations, accounts, and credit card management.
- **ACMEGrocery** — Simulate grocery shopping with access to past shopping data. Can be combined with refrigerator's output.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What altinoren/utopia does

altinoren/utopia is a simulation environment for experimenting with AI agents and household systems. Instead of connecting to physical appliances, it presents modeled devices and services through MCP tools. The available scenarios cover common home activities such as changing room conditions, operating lights and blinds, managing audio, checking food inventory, and securing the front door.

The scope also extends beyond home automation. The server includes a simulated autonomous electric vehicle, basic banking and credit-card operations, and grocery shopping based on previous purchases. These endpoints let developers test whether an agent can identify relevant tools and combine their results to complete a user request.

## How it works

The agent discovers the exposed MCP tools and resources, then selects and calls them as needed. The `Rooms` resource supplies the house’s room list for operations that require a room, while `Locations` provides known places for the vehicle tool. This structure supports workflows that span several devices instead of requiring a separately programmed workflow for every request.

For example, a bedtime instruction can lead an agent to close blinds, adjust the bedroom temperature, lock the front door, turn off lights and audio, and check the vacuum state. The README presents this as an example of multi-endpoint orchestration performed by the agent. Results are simulated rather than applied to real equipment.

## Setup and configuration

altinoren/utopia requires .NET 9 to build and run.

```json
{
  "mcpServers": {
    "Utopia": {
      "command": "dotnet",
      "args": [
        "run",
        "--project",
        "<path_to_project_folder>/Utopia.csproj"
      ]
    }
  }
}
```

Replace the project path with the location of `Utopia.csproj` on the host running the server.

## Tools and capabilities

The server currently lists these MCP tools:

- `HumidityControl` and `AirQualityControl` for room conditions.
- `Lighting`, `MultiRoomAudio`, `SmartBlinds`, and `SmartThermostat` for room devices.
- `Refrigerator` for viewing simulated contents.
- `RobotVacuum` for cleaning state and scheduling.
- `SmartBed` for sleep monitoring and adjustable climate control.
- `SmartLock` for the front door.
- `AutonomousElectricVehicle` for driving, charging, trip scheduling, and auto-parking.
- `ACMEBank` for basic accounts and credit-card operations.
- `ACMEGrocery` for shopping scenarios using past shopping data.

The refrigerator output can be combined with grocery operations, and room and location resources provide inputs for other tools. altinoren/utopia is therefore suited to testing tool selection, resource use, and chained actions.

## Limitations and notes

The listed future ideas—pickup drones, garden robots, robotic kitchens, and medication assistance—are not described as currently available tools. Agent results can also depend on the client and model’s ability to reason across multiple available endpoints.

_Full upstream README: https://allmcps.com/mcp/altinoren-utopia/readme_