Описание
Thermo — Model Context Protocol server
README
A minimal, easy-to-run Model Context Protocol (MCP) server that exposes temperature-related tools and demonstrates how external processes (thermometers, IoT devices, scripts, etc.) can write data that an MCP-enabled client can consume.
This project is intentionally small, readable, and built as a foundation for more advanced MCP tools.
⭐ Features
✔ Minimal FastMCP server
Provides two MCP tools:
get_latest_temperature()— Read the latest temperature JSON fileset_latest_temperature()— Write a new temperature value into the JSON file
✔ External writer script
thermometer_listener.py simulates a hardware thermometer by writing temperature data into the JSON file.
This models how real-world devices or cron jobs feed data into MCP.
✔ Notifier module
notifier.py outputs readable messages to stderr.
You can extend this to integrate alerts, logs, webhooks, or push-notification systems.
✔ Cursor IDE Compatible
Includes optional .cursor/ configuration so Cursor MCP clients automatically detect and load the server.
📂 Project Structure
thermo-mcp-server/
│
├── server.py # MCP server — exposes temperature tools
├── thermometer_listener.py # Simulated device that writes temperature JSON
├── notifier.py # Simple stderr logger + threshold notifier
├── mcp_config.json # Generic MCP config for MCP clients
├── requirements.txt # Python deps (FastMCP + base libs)
│
├── data/
│ └── latest_temp.json # Storage for temperature readings
│
└── .cursor/ (optional)
└── commands/
└── mcp.md # Cursor MCP command helper
🚀 Quick Start (Terminal)
Run these inside the repo folder:
cd thermo-mcp-server
1. Create & activate a virtual environment
python3 -m venv .venv
source .venv/bin/activate
2. Install dependencies
pip install -r requirements.txt
3. Ensure the data folder exists
mkdir -p data
echo "{}" > data/latest_temp.json
▶ Running the MCP Server
Start the server:
python server.py
- In Cursor/ChatGPT/Claude Desktop: the MCP handshake begins automatically.
- In Terminal: it waits for JSON-RPC (normal behavior).
🌡 Writing a Temperature
Simulate a thermometer reading:
python thermometer_listener.py --temp 72.5 --unit F
Example JSON written to data/latest_temp.json:
{
"temperature": 72.5,
"unit": "F",
"timestamp": "2025-12-06T04:36:52Z",
"source": "listener"
}
Add a threshold alert:
python thermometer_listener.py --temp 90 --unit F --threshold 85
📁 Temperature File Format
The server reads/writes:
data/latest_temp.json
Example:
{
"temperature": 70.0,
"unit": "F",
"timestamp": "2025-12-06T04:00:00Z",
"source": "listener"
}
🧪 MCP Tools Exposed
get_latest_temperature() → dict
Returns the parsed JSON temperature data.
set_latest_temperature(value: float, unit: str = "F") → dict
Writes a new temperature entry (value + timestamp).
💻 Cursor Integration (Optional)
Cursor users can enable the MCP server automatically.
Files inside:
.cursor/
allow Cursor to discover and connect to the MCP server without manual setup.
🛠 Development Notes
- Code is intentionally simple and extensible
- Ideal for experimenting with MCP
- Easy to expand with:
- device hardware
- push notifications
- cloud integrations
- automations
- Safe to modify and fork
🤝 Contributions
PRs welcome!
Ideas:
- Additional MCP tools
- IoT integrations
- Notification pipelines
- Improved examples
📄 License
MIT License
Free to use for learning, experimentation, and production.
Установка Thermo
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/MahoneyContextProtocol/thermo-mcp-serverFAQ
Thermo MCP бесплатный?
Да, Thermo MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Thermo?
Нет, Thermo работает без API-ключей и переменных окружения.
Thermo — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Thermo в Claude Desktop, Claude Code или Cursor?
Открой Thermo на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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