Service Utilization

Service Utilization MCP Connector for Claude

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Measure resource efficiency by calculating booked versus available hours.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to monitor and forecast resource efficiency. Use get_resource_utilization to check how much capacity a specific resource is using, or get_team_utilization to see the combined efficiency of a group. You can also use get_resource_capacity_forecast to plan for future workloads and get_resource_availability_schedule to view daily breakdowns of availability and bookings.

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4 tools expose this connector's capabilities to your AI agent.

get_resource_availability_schedule

Retrieves a breakdown of available versus booked hours per day within a range

get_resource_capacity_forecast

Estimates future availability by comparing existing bookings against theoretical capacity

get_resource_utilization

Calculates the utilization percentage for a specific resource over a defined timeframe

get_team_utilization

Calculates the aggregate utilization for a group of resources

See how to talk to your AI agent using Service Utilization.

What is the utilization for resource 'res-123' from 2024-01-01 to 2024-01-07?

The utilization rate for resource 'res-123' is 85%, with 34 booked hours out of 40 available hours.

Is the team [res-01, res-02] overloaded this week?

The aggregate utilization for the team is 105%, with 84 total booked hours and 80 total available hours, indicating they are currently overloaded.

How much capacity will resource 'res-456' have on 2024-12-25?

On 2024-12-25, resource 'res-456' is expected to have 8 remaining capacity hours with an expected utilization of 20%.

The utilization rate is the ratio of booked hours to available hours. If booked hours exceed available hours, the rate will exceed 100% and the resource is marked as overloaded.

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