
Project Management AI Analysis
io.github.antnewman由 GitHub 账号 antnewman 发布v0.3.0更新于 Oct 24, 2026
AI-powered project analysis with risk identification, forecasting, and mitigation generation
概览
pm-mcp-servers 套件中的项目分析服务器,让 AI 助手进行风险识别、预测和缓解措施生成。
- 可以做什么
- 分析项目管理数据,识别风险并给出缓解建议
- 基于解析后的项目数据预测项目结果
- 与同包中的解析、校验和基准测试服务器配合使用
- 支持基于 NISTA 项目数据标准的 AI 辅助项目交付
- 适用场景
- 当你希望助手审查项目进度或计划、识别风险并给出预测和缓解思路时适用,尤其适合英国公共部门或基础设施项目交付场景。
- 运行要求
- 以本地 stdio 进程运行,需通过 PyPI 包 pm-mcp-servers 安装(Python)。未声明认证、环境变量或请求头。仅限桌面端,不提供网页可执行版本。
安装
在 SourceWeft 中
- 打开 控制台中的 Project Management AI Analysis,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
PDA Platform
NOTICE: The PDA Task Force closed on 30 January 2026
This repository is no longer maintained or supported.
- The contact email [email protected] is no longer active
- For questions, contact the final Chair: Donnie MacNicol at [email protected]
- A maintained fork is available at: https://github.com/antnewman/pda-platform
Open-source infrastructure for AI-enabled project delivery.
[License: MIT] [DOI] [PyPI - pm-data-tools]
Overview
The PDA Platform provides the data infrastructure needed for AI to improve project delivery. Built to support the NISTA Programme and Project Data Standard trial.
This work was made possible by:
- The PDA Task Force White Paper identifying AI implementation barriers in UK project delivery
- The NISTA Programme and Project Data Standard and its 12-month trial period
The Problem
UK major infrastructure projects have a success rate of approximately 0.5%. The Government Major Projects Portfolio shows 84% of projects rated Amber or Red. AI has potential to help, but lacks standardised data infrastructure.
The Solution
Quick Start
Packages
pm-data-tools
Universal parser and validator for project management data.
- Formats: MS Project, Primavera P6, Jira, Monday, Asana, Smartsheet, GMPP, NISTA
- Features: Parse, validate, convert, migrate
- Install:
pip install pm-data-tools
agent-task-planning
AI reliability framework with confidence extraction and outlier mining.
- Features: Multi-sample consensus, diverse alternative generation
- Install:
pip install agent-task-planning
pm-mcp-servers
MCP servers enabling Claude to interact with PM data.
- Servers: pm-data, pm-validate, pm-analyse, pm-benchmark
- Install:
pip install pm-mcp-servers
Specifications
All specifications are in the specs/ directory:
Repository Structure
License
MIT License - see LICENSE
Authors
Members of the PDA Task Force
Acknowledgments
- PDA Task Force White Paper on AI implementation barriers
- NISTA Programme and Project Data Standard
- The open-source community
Built to support the NISTA trial and improve UK project delivery.
来源:README.md,提交 f73b088
工具
0版本历史
1- v0.3.0最新Sep 16, 2026
评分
已满足适用检查项的 50%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
- 已声明认证方式10 分
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
- 已列出工具15 分
请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分