mcs-mcp
Active·★ 14·Apache-2.0·Updated 2026-05-02
★ Trending★ Observability★ Dev Tooling
Provide Monte-Carlo-Simulation and Flow Data diagnostics to AI Agents
MCS-MCP is an MCP server that connects AI assistants to Jira project history for natural-language delivery analytics and probabilistic forecasting. It uses Monte-Carlo simulations to answer questions about completion dates, scope, and process bottlenecks. It ingests only minimal metadata (issue keys, types, transitions) ensuring data security and privacy.
#analysis#cycle-time#diagnostics#flow-metrics#forecasting#golang#mcp#mcp-server
01
Features
01Interactive Chart Rendering
02Monte-Carlo Forecasting
03Forecast Backtesting
04Predictability Guardrails with XmR Control Charts
05Workflow Semantic Discovery
02
Compatibility
Windows
Windows
Verified via docs
macOS
macOS
Verified via docs
Linux
Linux
Verified via docs
03
Use cases
↳Forecast completion dates for backlog items
↳Assess process stability and predictability
↳Identify bottlenecks in workflow
04
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Comments
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- SSage BrownApr 27, 2026
Flow data diagnostics alongside simulation covers the quantitative workflow well.
- Aspen RiveraApr 23, 2026
MCP integration makes simulation capabilities accessible from AI agent workflows.
- EEmerson WilsonMar 19, 2026
Good for quantitative analysts and financial modelers who want AI assistance.
- EElliot KimMar 1, 2026
Monte Carlo simulation and Flow Data diagnostics via MCP for quantitative workflows.