Monte Carlo Simulation Forecasting Mcp

Name: Monte Carlo Simulation Forecasting Mcp
Author: bbak

@bbak

关于 Monte Carlo Simulation Forecasting Mcp

Monte-Carlo-Simulation Forecasting and various statistical methods to assess the stability of the flow and diagnose flow issues.

#forecasting #monte-carlo-simulation #xmr-charts #atlassian-jira #wip-age #walk-forward-backtesting

基本信息

分类

其他

传输方式

stdio

发布者

bbak

提交者

Bruno Baketarić

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcs-mcp": {
      "command": "/path/to/server/mcs-mcp.exe",
      "args": []
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Monte Carlo Simulation Forecasting Mcp?

Monte Carlo Simulation Forecasting Mcp (MCS-MCP) is a Model Context Protocol server that provides AI assistants with probabilistic forecasting and analysis for software delivery projects. It uses historical Jira data and high-performance Monte Carlo simulations to generate actionable, percentile-based delivery insights, with a focus on mathematical hardening and security-by-design.

How to use Monte Carlo Simulation Forecasting Mcp?

Download or build the binary, configure Jira authentication in a .env file, and point your MCP client to the binary. Once connected, ask the AI agent to look at a project and board, discover its workflow, and request forecasts or the analytical roadmap. Supported authentication methods include Personal Access Tokens and session cookies.