Monte-Carlo Simulation MCP Server

Example Use Cases

• 1

  Forecast project delivery dates and throughput using historical Jira data.

• 2

  Analyze workflow bottlenecks, process stability, and predictability in software delivery.

• 3

  Perform retrospective analysis and backtesting of forecasts on past project states.

Description

MCS-MCP enables AI agents like Claude to analyze Jira project data by reconstructing event histories and inferring workflow semantics to provide Monte-Carlo based forecasting, process diagnostics, and stratified analytics. It offers features such as workflow discovery, predictability guardrails, aging analysis, and historical time-travel for retrospectives. The server emphasizes data security by minimizing sensitive data ingestion and storing only analytical metadata in human-readable caches.