Apilio

@Apilio show me all my boolean variables and their current states so I can see what's toggled on right now

Here are your boolean variables in Apilio: • **home_occupied** — true (last updated 2 hours ago) • **vacation_mode** — false (last updated 3 days ago) • **garage_door_open** — false (last updated 15 minutes ago) • **security_armed** — true (last updated 6 hours ago) All four variables are currently active in your account. The most recent change was to garage_door_open, which switched to false 15 minutes ago.

This example shows how the MCP surfaces state across your home automation logic. Useful for debugging why a logicblock fired or didn't fire. Requires an API key with read access to variables. The response reflects your account's current snapshot — variable counts and names will differ.

@Apilio list all my logicblocks so I can review what automation rules are configured in my account

You have 7 logicblocks configured: 1. **Evening Lights** — triggers when home_occupied is true and time is after sunset 2. **Vacation Security** — activates security_armed when vacation_mode switches to true 3. **Garage Alert** — sends notification if garage_door_open stays true for 10+ minutes 4. **Morning Routine** — adjusts thermostat and opens blinds at 7 AM on weekdays 5. **Away Mode** — disables non-essential devices when home_occupied becomes false 6. **Weather Override** — cancels sprinkler logicblock if rain detected 7. **Night Mode** — dims lights and locks doors at 11 PM Each logicblock can be inspected individually for its full condition tree and action list.

This example demonstrates how the MCP helps you audit your automation setup. Logicblocks are Apilio's core abstraction — they evaluate conditions and trigger actions. The response is illustrative; your logicblock names, counts, and logic will vary. Requires API key access.

@Apilio check my numeric variables and conditions, then explain which logicblocks would fire if I set indoor_temp to 68 degrees

Your numeric variables include **indoor_temp** (currently 72°F), **outdoor_temp** (58°F), and **humidity_level** (45%). If you set indoor_temp to 68°F, two logicblocks would evaluate: • **Heating Boost** — condition checks if indoor_temp < 70°F AND home_occupied is true. Since home_occupied is currently true, this logicblock would fire and increase your thermostat setpoint by 2 degrees. • **Energy Saver** — condition checks if indoor_temp is between 65-70°F during off-peak hours. It's currently 3 PM (peak), so this would NOT fire. Changing indoor_temp to 68 would trigger one automation in your current state.

This example shows the MCP's ability to synthesize across multiple tool calls (fetching numeric variables, conditions, and logicblocks) to predict automation behavior. Helpful for testing logic before deploying changes. The AI reasons over Apilio's data but doesn't execute writes — you'd still change the variable value in Apilio's UI or via a separate API call.

When Apilio MCP helps diagnose smart home logic failures

A two-person household runs 15+ Apilio logicblocks to orchestrate lights, climate, and security across IFTTT and smart plugs. When a rule stops firing—say, the porch light no longer triggers at sunset—the MCP lets you query all boolean and numeric variables in one chat thread instead of clicking through the Apilio web UI. You see the sunset sensor is stuck at 'false' because a third-party service changed its payload format. This works best when your Apilio setup has under 30 logicblocks; beyond that, the flat list of conditions gets hard to parse in a chat interface. If you're debugging one or two misbehaving rules per month, the MCP saves 10 minutes per incident by surfacing state in context.

Why Apilio MCP rarely fits B2B support workflows

A 6-person support team at an IoT startup helps customers troubleshoot device automations built on Apilio's platform. The MCP's five read-only tools (Get Boolean Variables, Get Conditions, Get Logicblocks, Get Numeric Variables, Get String Variables) let an agent pull a customer's rule state during a screen-share. The problem: each customer has a separate Apilio account, so the agent must swap API keys mid-conversation to switch contexts. Switchy doesn't yet support per-conversation credential injection, which means the MCP is scoped to one account at a time. If your support model is one agent, one customer account, the MCP works. If agents juggle 10+ accounts daily, you'll spend more time re-authenticating than you save on lookups.

When Apilio MCP accelerates facility automation reviews

A 3-person facilities team manages 40 Apilio logicblocks controlling HVAC schedules, occupancy sensors, and energy monitors across two office floors. Every quarter, they audit which rules are active, which variables haven't changed in 90 days, and whether any conditions reference deprecated sensors. The MCP's Get Logicblocks and Get Numeric Variables tools let them dump the full state into a Switchy thread, then ask the AI to flag stale variables or overlapping conditions. This beats exporting CSV from Apilio's dashboard because the AI can cross-reference variable names with your internal sensor inventory in the same prompt. The trade-off: the MCP has no write access, so you still return to the Apilio UI to disable obsolete rules. Best for teams running quarterly or annual reviews, not daily ops.