SLA Calculator
Computes Service Level Agreement (SLA) metrics from inputs like uptime duration, response times, and incident resolution data. Outputs achieved percentages, compliance status, and breach details. DevOps engineers, SREs, and IT operations teams use it to validate service performance against targets in automated pipelines.
Overview
The SLA Calculator MCP server provides programmatic access to Service Level Agreement computations via MCP protocol. It processes raw performance data—such as total operational time, downtime incidents, average latency, and mean time to resolution (MTTR)—to evaluate adherence to predefined SLA thresholds.
Key Capabilities
- sla_calculator: Accepts parameters including target percentage (e.g., 99.99%), measured uptime, downtime events, and service logs; returns computed SLA attainment, variance from target, and boolean compliance flag.
- Multi-SLA evaluation: Handles combined metrics for availability, performance SLAs (e.g., P95 latency < 200ms), and support SLAs (e.g., critical incidents resolved in 4 hours).
- Output formatting: Delivers JSON results with detailed breakdowns for integration into dashboards or alerting systems.
Use Cases
- A DevOps team feeds monthly infrastructure logs into sla_calculator to confirm 99.9% uptime SLA before billing customers.
- SREs input API response traces to assess performance SLAs, identifying latency breaches during peak loads.
- IT managers process support ticket data for MTTR calculations, ensuring vendor contracts meet resolution time guarantees.
- Automated CI/CD pipelines invoke the server post-deployment to validate new release SLAs against baselines.
Who This Is For
SREs and DevOps engineers monitoring infrastructure reliability; IT operations teams auditing vendor performance; service owners integrating SLA checks into observability stacks. Requires basic familiarity with MCP for tool invocation in AI agents or scripts.