BMS Schedule Override MCP

x402

BMS Schedule Override MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-12).

Processes building management system (BMS) schedule override commands, allowing agents to temporarily or permanently override automated HVAC, lighting, or equipment schedules.

Price / call$0.1

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Output

A confirmation or status response indicating whether the BMS schedule override was successfully processed, along with any relevant details about the affected schedule, zone, or system state returned by the building management endpoint.

Example use cases

Emergency after-hours HVAC override

“The office is hosting a late event tonight and the AC will shut off at 6pm per the normal schedule — can you push a schedule override to keep the HVAC running in cooling mode until 11pm?”

Maintenance window schedule bypass

“We need to do electrical maintenance this Saturday, so please send a BMS schedule override to disable the automated lighting and HVAC cycles for the entire building between 8am and 2pm.”

Special event climate control

“There's a VIP event in the west wing this Sunday when the building is normally unoccupied — override the BMS schedule to enable heating for that zone from noon to 8pm.”

Technical details

Endpoint

POSThttps://api.m2mcent.com/bms-schedule-override-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when an AI agent needs to programmatically send schedule override commands to a building management system — particularly for after-hours events, maintenance windows, or emergency climate control adjustments that fall outside normal automated schedules.

Side effects

Invalid or malformed schedule override data returns an error response
BMS system unreachable or offline causes a timeout or failure
Override conflicts with locked or protected schedule entries
Insufficient permissions for the requested override action
Malformed JSON input in the data field causes a 400-level error

Output

Schema · Response

{
  "type": "json",
  "example": {
    "success": true
  }
}

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