coldchain-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@coldchain-mcpDid my shipment at sample_data.csv breach the 2-8°C range?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cold-Chain MCP Server
Analyze cold-chain sensor data with AI agents. Connect your temperature/humidity logger to Claude, Cursor, or any MCP client and ask in plain language: "did this shipment breach the cold chain?", "find the anomalies in this log", "split this file into separate journeys."
🔒 Privacy: all analysis runs locally. Your data never leaves your machine. No external APIs, no cloud. Suitable for compliance-sensitive environments.
What is this? (start here if you're new to MCP)
MCP (Model Context Protocol) is a standard way to give an AI assistant access to external tools. This project is an MCP server — a small program that runs on your computer and gives an AI agent four specialized tools for analyzing sensor time-series data.
The idea: instead of pasting thousands of temperature readings into a chat and hoping the AI does the math right, the AI calls these tools, which compute the answer deterministically (same input, same result, every time). You ask a question in plain language; the agent runs the right tool and gives you a structured report.
Related MCP server: PiQrypt MCP Server
Why use it
Language models are unreliable at statistics over large numeric series. They confuse a one-off sensor glitch with a real breach, lose track of timestamps, and produce different answers on re-runs. This server hands the agent deterministic, repeatable tools that get it right every time.
Tools
Tool | What it does |
| Summary statistics: min / max / mean / median / standard deviation, time range and duration. |
| Detects threshold breaches (e.g. 2-8 degrees C) with minimum duration and hysteresis — separates a real breach from a momentary spike. |
| Flags outliers (global z-score, or deviation from a rolling mean). |
| Splits a continuous log into separate journeys based on time gaps (START/STOP). |
Key distinction: a breach is not an anomaly
A sensor spiking to 40 degrees C for a single sample is an anomaly (a sensor glitch) — not a breach of the cold chain. A door left open, pushing the temperature to 12 degrees C for 20 minutes, is a breach, even though every individual reading looks plausible. This server distinguishes the two cases — exactly what a compliance audit requires.
Installation
The easiest way is with pip:
pip install coldchain-mcpThis installs the server and a command called coldchain-mcp. It's now ready to connect to any MCP client.
Alternative: from source
If you want to modify the server locally:
git clone https://github.com/matuzale/coldchain-mcp
cd coldchain-mcp
pip install -e .Connecting to Claude Desktop
An MCP client (like Claude Desktop) needs to know how to start your server. You tell it through a small configuration file. Open Claude Desktop, go to Settings -> Developer -> Edit Config, and add a cold-chain entry.
If you installed with pip (recommended), the config is short — you just name the command:
{
"mcpServers": {
"cold-chain": {
"command": "coldchain-mcp"
}
}
}This works because pip install created a coldchain-mcp command that already knows where the code lives — so you don't have to point at any file.
If you're running from source instead, point at the script directly:
{
"mcpServers": {
"cold-chain": {
"command": "python",
"args": ["/full/path/to/coldchain-mcp/server.py"]
}
}
}Windows note: if the short
"command": "coldchain-mcp"form doesn't start the server, the install directory may not be on your system PATH. Either add Python'sScriptsfolder to PATH, or use the full path tocoldchain-mcp.exeas the command.
After editing, fully restart Claude Desktop (quit from the system tray, not just the window). The tools appear automatically.
Data format
CSV with a header, or JSON. Column names are configurable via the ts_field and value_field parameters, and the parser recognizes common aliases (temp, temperature, time, value).
timestamp,value
2026-07-20T08:00:00,5.1
2026-07-20T08:05:00,4.9JSON is also accepted:
[
{"timestamp": "2026-07-20T08:00:00", "value": 5.1},
{"timestamp": "2026-07-20T08:05:00", "value": 4.9}
]Example (talking to the agent)
"Load sample_data.csv and check whether the shipment breached the 2-8 degrees C range. A breach only counts after 10 minutes."
The agent calls detect_threshold_breaches(min_temp=2, max_temp=8, min_duration_minutes=10) and returns a structured report of any breaches, with start time, end time, duration, and peak value.
Roadmap
PDF report export
MKT (Mean Kinetic Temperature) — pharmaceutical standard
Humidity support and temperature/humidity correlation
Multi-zone detectors for a single shipment
License
MIT — see LICENSE. You're free to use, modify, and distribute this, including commercially, as long as the copyright notice is retained.
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