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aranet4-mcp-server

aranet4-mcp-server

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github.com/diegobitScience & Education4Updated 5w ago

About aranet4-mcp-server

aranet4-mcp-server manages an Aranet4 CO₂ sensor and a local SQLite database. It is for users who collect and query sensor readings, and includes device scanning, chart generation, and guided setup.

Key features

  1. 01Scan nearby Aranet4 devices
  2. 02Fetch readings into SQLite
  3. 03Query recent and historical data
  4. 04Plot measurement data
  5. 05Guided device configuration

Use cases

  1. 01Collect new readings from the sensor
  2. 02Review data over a time range
  3. 03Plot CO₂ measurement trends

MCP support

As an MCP server, it provides MCP clients with device configuration, scanning, data-fetching, and historical-query tools.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

aranet4-mcp-server

Verified on MseeP

MCP server to manage your Aranet4 CO2 sensor. Built upon Aranet4-Python.

Tip

For the standalone python version without MCP logic, see aranet4-archiver.

Example screenshot of the Aranet4 MCP Server running

Features:

  • Scan for nearby devices.
  • Fetch new data from embedded device memory and save to a local sqlite db for tracking and later viewing. For automatic updates, see at the bottom.
  • Ask questions about recent measurements or about a specific past date.
  • [For MCP clients that support images] Ask data to be plotted to also have a nice visualization!
  • Assisted configuration! 💫 After installation, just ask init aranet4 in your client to set up everything for the mcp server to work with your device.

Requirements

An Aranet4 device already paired. The device uses BLE, so it won't be shown in regular bluetooth search. On MacOS, one way is to install LightBlue from the App Store.

Installation

  1. Clone repo:

    git clone [email protected]:diegobit/aranet4-mcp-server.git`
    cd aranet4-mcp-server
    
  2. Prepare environment:

    • Recommended (with uv): Nothing to do. The provided pyproject.toml handles dependencied and virtual environments.
    • Alternative (with pip): install with pip install .
  3. Add to MCP client configuration:

    "aranet4": {
      "command": "{{PATH_TO_UV}}", // run `which uv`
        "args": [
          "--directory",
          "{{PATH_TO_SRC}}/aranet4-mcp-server/",
          "run",
          "src/server.py"
        ]
    }
    
    • Claude Desktop MacOS config file path: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Cursor MacOS config file path: ~/.cursor/mcp.json
  4. Configure:

    • Recommended (AI assisted config!): start your client and ask init aranet4 to get a guided configuration.
    • Alternative (manual): edit file config.yaml. You need to provide the mac address and the device name. You can get the mac address with aranetctl --scan from Aranet4-Python (installed with this repo dependencies).

Dockerfile

Dockerfile is available. Remember to pass env variables or update config.yaml.

List of tools

Configuration and utils:

  • init_aranet4_config: assisted configuration of device.
  • scan_devices: scan nearby bluetooth aranet4 devices.
  • get_configuration_and_db_stats: get current config.yaml and general stats from the local sqlite3 db.
  • set_configuration: set values in config.yaml.

To update historical data:

  • fetch_new_data: fetch new data from configured nearby aranet4 device and save to local db.

To query historical data:

  • get_recent_data: get recent data from local db. Can specify how many measurements.

  • get_data_by_timerange: get data in specific timerange from local db. Can specify how many measurements (careful, if the range is big and the limit is low, datapoints will be skipped).

    For both, ask to receive a plot to have it generated and displayed.

Automatic data fetch job

If you want your local db to always be updated, you can setup a launch agent (macOS), a systemd timer (Linux) or a cronjob that fetches data automatically every few hours.

macOS (launchd)
  1. Configure absolute paths in com.diegobit.aranet4-fetch.plist.
  2. Install LaunchAgent:
    cp com.diegobit.aranet4-fetch.plist ~/Library/LaunchAgents/
    launchctl load ~/Library/LaunchAgents/com.diegobit.aranet4-fetch.plist
    
Linux (systemd user timer)
  1. Configure absolute paths in systemd/aranet4-fetch.service.
  2. Install and enable the timer:
    mkdir -p ~/.config/systemd/user
    cp systemd/aranet4-fetch.service systemd/aranet4-fetch.timer ~/.config/systemd/user/
    systemctl --user daemon-reload
    systemctl --user enable --now aranet4-fetch.timer
    
    The fetch runs once on activation and then every 3 hours, catching up on runs missed while the machine was off. To keep it running without an open login session, enable lingering with loginctl enable-linger $USER.
Linux (cron)

Alternatively, add this line to your crontab (crontab -e):

0 */3 * * * cd /home/diego/code/aranet4-mcp-server && /home/diego/.local/share/mise/shims/uv run fetch-job.py

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