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mcs-mcp
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mcs-mcp

Active·★ 18·Apache-2.0·Updated 2026-09-06

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
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#mcp-server
$ Install
$ git clone https://github.com/bbak/mcs-mcp.git
↗ Visit site★ GitHub
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

Quick start

1
$ git clone https://github.com/bbak/mcs-mcp.git
04

Use cases

↳Forecast completion dates for backlog items
↳Assess process stability and predictability
↳Identify bottlenecks in workflow
05

Alternatives

⚡Top VS:
VSmcp-victorialogs★104→VSmcp-stata★88→VSmcp-dap-server★105→

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bbak /
mcs-mcp
↗

Provide Monte-Carlo-Simulation and Flow Data diagnostics to AI Agents

18Apache-2.0
Last commit1mo ago
StatusActive
CategoryObservability
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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