ac-infinity-mcp

Control and monitor your AC Infinity grow environment through Claude and any MCP-compatible AI assistant.

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What is this?

ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.

Built with FastMCP and the AC Infinity cloud API.

Example prompts

"What's the VPD trend in my tent over the last 7 days?" "Is my environment in the right range for late flower?" "Turn off port 3 on my 69 Pro controller — dry run first." "Show me which ports have been running the most this week." "Apply the veg stage template to port 1 — dry run first so I can see the settings." "My VPD is too high — what should I adjust?"

Compatible hardware

Controller	Reads	Writes	Notes
UIS Controller 69 Pro	✅	✅	Legacy protocol
UIS Controller 69 Pro+	✅	✅	Legacy protocol
UIS Controller 89 AI+	✅	⚠️ v1 read-only	New AI+ protocol — write support planned for v2

Tools

Category	Tool	What it does
🔍 Discovery	discover_devices	List all your controllers and ports
🌡️ Readings	get_device_reading	Live temp, humidity, VPD, and port states for one device
🌡️ Readings	get_all_device_readings	Same, for all devices at once
🌡️ Readings	get_historical_readings	Time-series data with optional bucketing (raw, 15m, 1h, 1d, …)
📊 Analytics	check_vpd_drift	VPD target compliance check for your current grow stage
📊 Analytics	get_environment_health	Composite health score (0–100, A–F) across temp, humidity, VPD
📊 Analytics	detect_environment_trends	Linear trend + 7-day projection per metric
📊 Analytics	get_port_activity_report	Per-port on/off hours, uptime %, and peak activity hour
🔎 Port Status	get_port_status	Live port power level, load detection, active mode, and timer countdown
🔎 Port Status	get_port_settings	Full automation config: mode, VPD target, temp/humidity thresholds, schedule, cycle
🔌 Write	set_port_speed	Set fan or pump speed 1–10 (dry_run=True by default)
🔌 Write	set_port_on	Turn a port fully on (dry_run=True by default)
🔌 Write	set_port_off	Turn a port fully off (dry_run=True by default)
⚙️ Automation	set_vpd_automation	Enable VPD mode with a kPa target using built-in sensors (dry_run=True by default)
⚙️ Automation	set_temperature_automation	Enable AUTO mode with min/max °C thresholds (dry_run=True by default)
⚙️ Automation	set_humidity_automation	Enable AUTO mode with min/max % RH thresholds (dry_run=True by default)
⚙️ Automation	set_port_mode	Switch to any mode: OFF, ON, AUTO, VPD, CYCLE, SCHEDULE, TIMER_TO_ON, TIMER_TO_OFF (dry_run=True by default)
🌱 Intelligence	apply_grow_stage_template	One-click VPD + temp + humidity automation for a named grow stage (dry_run=True by default)
🤖 Advance Automation	list_advance_automations	List all named Advance Automation programs on a device
🤖 Advance Automation	get_advance_automation	Get full detail (schedule, port groups, run state) for one automation
🤖 Advance Automation	enable_advance_automation	Enable a disabled automation — reads state first, no-ops if already enabled (dry_run=True by default)
🤖 Advance Automation	disable_advance_automation	Disable an enabled automation — reads state first, no-ops if already disabled (dry_run=True by default)
🤖 Advance Automation	create_advance_automation	Create a new named automation; the first rule can be off, on, cycle, auto (temp/humidity), or VPD (dry_run=True by default)
🤖 Advance Automation	delete_advance_automation	Delete an automation (disables first if active) (dry_run=True by default)
🤖 Advance Automation	add_automation_rule	Add one rule (window + behavior) to an existing program — off, on, cycle, auto (temp/humidity), or VPD (dry_run=True by default)
🤖 Advance Automation	update_automation_rule	Edit one rule in place — change its window, speed, mode, or sensor targets (dry_run=True by default)
🤖 Advance Automation	delete_automation_rule	Remove a single rule from a program, leaving the rest intact (dry_run=True by default)
🤖 Advance Automation	break_out_of_automation	Safely break a port out of automation control and lock co-governed ports to manual speed (dry_run=True by default)

✦ All write tools (Write, Automation, and Intelligence categories) default to dry_run=True — they return the exact payload they would send without making any changes to your equipment. Pass dry_run=False only when you're ready to execute.

📖 For a complete grower's guide with conversation examples for every tool, see docs/GUIDE.md.

MCP Prompts

Three built-in prompts are registered alongside the tools. In Claude Desktop and other MCP clients, these appear as slash commands or prompt suggestions.

Prompt	What it does
vpd_troubleshooting	Step-by-step guide: diagnose HIGH or LOW VPD and which tools to call to fix it
new_grower_setup	Onboarding walkthrough: discover devices → apply a stage template → check your health score
environment_alert_interpretation	How to read check_vpd_drift status values and get_environment_health grades (A–F, score weighting, what to do)

Quick start

Option 1: pip (simplest)

pip install git+https://github.com/ober37/ac-infinity-mcp.git

Requires Python 3.11+.

Option 2: isolated venv (recommended)

python3 -m venv ~/.venvs/ac-infinity-mcp
source ~/.venvs/ac-infinity-mcp/bin/activate
pip install git+https://github.com/ober37/ac-infinity-mcp.git
which ac-infinity-mcp   # copy this path — you'll need it below

Option 3: uvx (no install)

uvx --from git+https://github.com/ober37/ac-infinity-mcp.git ac-infinity-mcp

MCP client configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "ac-infinity": {
      "command": "/path/to/ac-infinity-mcp",
      "env": {
        "AC_INFINITY_EMAIL": "you@example.com",
        "AC_INFINITY_PASSWORD": "yourpassword"
      }
    }
  }
}

Replace /path/to/ac-infinity-mcp with the path printed by which ac-infinity-mcp.

Cursor / Windsurf

Add to your MCP settings:

{
  "ac-infinity": {
    "command": "/path/to/ac-infinity-mcp",
    "env": {
      "AC_INFINITY_EMAIL": "you@example.com",
      "AC_INFINITY_PASSWORD": "yourpassword"
    }
  }
}

Docker

cp .env.example .env
# fill in AC_INFINITY_EMAIL and AC_INFINITY_PASSWORD
docker compose up --build

The container runs over stdio. Connect via a stdio bridge such as mcp-proxy.

Credentials are injected at runtime via env_file — never baked into the image.

Environment variables

Variable	Required	Description
AC_INFINITY_EMAIL	Yes	Your AC Infinity account email
AC_INFINITY_PASSWORD	Yes	Your AC Infinity account password

⚠️ HTTP-only upstream: The AC Infinity cloud API does not support HTTPS. Credentials and sensor data traverse the network in plain text. This is an upstream limitation — see docs/API.md Quirk 8. Avoid running this server on untrusted networks.

Development

git clone https://github.com/ober37/ac-infinity-mcp.git
cd ac-infinity-mcp
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env   # fill in credentials

# Lint + type-check
ruff check src/ tests/
mypy src/ac_infinity_mcp/

# Tests (unit + integration)
pytest tests/ -v

# Security audit
pip-audit

Security

Vulnerabilities should be reported via GitHub Private Vulnerability Reporting. See SECURITY.md for the full disclosure policy, scope, and known limitations (including the HTTP-only upstream API). Accepted dependency CVEs are tracked in docs/SECURITY-RISKS.md.

License

MIT