MCP For Claude Marketplace
On-Call Economics Engine

On-Call Economics Engine MCP Connector for Claude

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Quantify the economic impact of on-call rotations by balancing compensation costs against burnout and attrition risks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a decision-support engine to measure the financial and human impact of engineering on-call rotations. It calculates total direct compensation costs, estimates attrition costs caused by developer fatigue, and provides a burnout risk score. Use get_on_call_economics to see a full breakdown of your current setup, optimize_rotation_configuration to find the ideal team size for cost-efficiency, and check_rotation_sustainability to determine if your rotation is Stable, At Risk, or Critical. It helps engineering leaders find the sweet spot between direct costs and team health.

on-callburnouteconomicsteam-healthoptimization

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

check_rotation_sustainability

Evaluates if a specific rotation configuration is "Healthy," "At Risk," or "Critical" based on burnout thresholds

compare_scenarios

Compares two different rotation setups to determine which is more economically and humanly efficient

get_on_call_economics

Provides a comprehensive breakdown of the financial and human impact of the current on-call configuration

optimize_rotation_configuration

Identifies the ideal team size to minimize the total economic impact (Direct Cost + Attrition Cost)

See how to talk to your AI agent using On-Call Economics Engine.

What is the economic impact of a 5-person team with a 1-week rotation and 3 incidents per week?

The total economic impact for this configuration includes a direct cost of $500 and an estimated attrition cost of $1,200, resulting in a total impact of $1,700.

Is my current rotation sustainable? I have 3 engineers, a 2-week rotation, and 5 incidents per week.

The rotation status is Critical. The high incident frequency relative to the team size creates a high burnout risk that requires immediate intervention.

How can I reduce the total cost of my on-call rotation?

To reduce total cost, you can use `optimize_rotation_configuration` to find a team size that balances compensation pay with the cost of potential attrition.

Burnout risk is calculated by analyzing the incident frequency relative to the length of the rotation period and the sensitivity coefficient provided.

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