# Cold Frame Venting Schedule AI Agent Connect

> Cold Frame Venting Schedule MCP manages the environment of your cold frames by calculating solar gain and weather forecasts. It tells your AI client exactly when to open or close vents to prevent frost damage or overheating. You can use it to generate full operation sequences, predict future internal temperatures, and verify that all vent actions stay within your safety limits.

## Overview
- **Category:** automation
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ww7sNBFXUOwiBPjAfNDtGofsor0A5uCQ3hhilG13/ai-agent-connect
- **Tags:** gardening, greenhouse, temperature, scheduling, plants, weather

## Description

You can stop worrying about your plants freezing overnight or baking in the sun. This MCP handles the math of thermal gain and outdoor temperature forecasts to manage your cold frame vents. Instead of manually checking the weather and adjusting vents, you let your AI agent do the heavy lifting. It looks at the forecast and the expected solar gain to build a precise schedule of when to open and close your vents. If you are worried about a specific time of day, you can ask your agent to estimate what the temperature inside will be. It also acts as a safety check, ensuring that any proposed venting plan doesn't violate the hard temperature limits you set for your sensitive plants. It turns your AI client into a precise climate controller for your greenhouse or garden setup.

## Tools

### calculate_venting_schedule
This tool builds a complete sequence of open and close events for your vents over a specific timeframe.

### get_vent_status_summary
Use this to get a clear, readable update on what your vents are doing right now and what they will do next.

### predict_internal_temperature
This tool estimates the future temperature inside your cold frame based on current conditions and solar gain.

### validate_safety_compliance
This tool checks your planned vent actions against your set safety limits to prevent plant damage.

## Prompt Examples

**Prompt:** 
```
Generate a venting schedule for my cold frame. The target range is 10 to 25 degrees. My safety limits are 5 to 30 degrees. I expect 6 hours of sun and a gain coefficient of 1.5. Here is the forecast: [{"timestamp": "2024-05-01T12:00:00Z", "temp": 15}, {"timestamp": "2024-05-01T18:00:00Z", "temp": 5}]
```

**Response:** 
```
{"events": [{"timestamp": "2024-05-01T14:00:00Z", "action": "open"}, {"timestamp": "2024-05-01T19:00:00Z", "action": "close"}]}
```

**Prompt:** 
```
Predict the internal temperature if the current temperature is 12, the outdoor temperature is 8, sun exposure is 2, and the gain factor is 1.2.
```

**Response:** 
```
{"predictedTemp": 14.4}
```

**Prompt:** 
```
Is a predicted temperature of 32 degrees safe if my safety maximum is 30?
```

**Response:** 
```
{"isSafe": false}
```

## Capabilities

### Automated Vent Scheduling
Your agent uses weather data and solar gain to create a list of vent movements.

### Thermal Prediction
The AI calculates expected internal temperatures for specific future times.

### Safety Constraint Checking
Your agent verifies that vent schedules won't push temperatures past your set limits.

### Real-time Status Updates
The AI provides summaries of current and upcoming vent states.

## Use Cases

### Frost Protection
The AI generates a schedule to close vents before temperatures drop below your safety threshold.

### Heat Management
The agent predicts temperature spikes from solar gain and schedules vent openings to cool the frame.

### Safety Auditing
You can check a proposed automation plan to see if it violates your specific plant requirements.

### Daily Monitoring
Get a quick summary of what your vents are doing without checking manual logs.

## Benefits

- Reduces the risk of frost damage through automated scheduling.
- Prevents overheating by calculating solar gain in real time.
- Ensures plant safety by validating all actions against hard limits.
- Saves time by generating full vent operation sequences from weather data.

## How It Works

You connect the MCP to your AI client and start managing your environment through natural language.

1. Connect the MCP to Claude, Cursor, or your preferred client via Vinkius.
2. Provide your target temperature range and safety limits to your agent.
3. Input your local weather forecast and solar gain expectations.
4. The agent uses the tools to calculate a schedule or predict temperatures.
5. Review the generated plan or status summary provided by the agent.

## Frequently Asked Questions

**How does this MCP decide when to open the vents?**
It uses outdoor temperature forecasts and solar gain calculations to determine the exact timing for vent operations.

**Can I set custom safety limits for my plants?**
Yes, you can set hard safety constraints that the tool uses to validate every proposed vent action.

**What AI clients can I use with this MCP?**
You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

**Does this MCP predict future temperatures?**
Yes, it includes a tool to estimate what the internal temperature will be at a specific future time.

**Do I need to host this myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

**How does the scheduling work?**
The `calculate_venting_schedule` tool analyzes forecast data and thermal gain coefficients to predict when the internal temperature will hit your target or safety limits, then creates a list of open and close actions.

**Can I set hard safety limits?**
Yes. You can define `safetyMax` and `safetyMin` values. The `validate_safety_compliance` tool can be used to check if any planned action would violate these critical thresholds.

**What is the purpose of the temperature gain coefficient?**
The `tempGainCoefficient` represents how effectively your cold frame traps heat from the sun and the ambient air, allowing the engine to predict internal temperature rises accurately.