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Project Management AI Analysis

Official registry Archived Productivity

AI-powered project analysis with risk identification, forecasting, and mitigation generation

Source code Documentation

What can you do with Project Management AI Analysis?

  • Formats: MS Project, Primavera P6, Jira, Monday, Asana, Smartsheet, GMPP, NISTA
  • Features: Parse, validate, convert, migrate
  • Install: pip install pm-data-tools

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package pm-mcp-servers
Claude Code 
claude mcp add project-management-ai-analysis -- uvx pm-mcp-servers==0.3.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "project-management-ai-analysis": {
            "command": "uvx",
            "args": [
                "pm-mcp-servers==0.3.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. PDA Platform
  2. Overview
  3. The Problem
  4. The Solution
  5. Quick Start
  6. Packages
  7. Specifications
  8. Repository Structure
  9. License
  10. Authors
  11. Acknowledgments

PDA Platform

NOTICE: The PDA Task Force closed on 30 January 2026

This repository is no longer maintained or supported.

  • The contact email info@pdataskforce.com is no longer active
  • For questions, contact the final Chair: Donnie MacNicol at donnie@teamanimation.co.uk
  • A maintained fork is available at: **https://github.com/antnewman/pda-platform**

Open-source infrastructure for AI-enabled project delivery.

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

ComponentDescriptionStatus
pm-data-toolsUniversal PM data parser (8 formats + NISTA)v0.2.0 ✅
agent-task-planningAI reliability frameworkv1.0.0 ✅
pm-mcp-serversMCP servers for Claude integrationPhase 1 ✅
SpecificationsCanonical model, benchmarks, synthetic dataPublished ✅

Quick Start

# Install the core library
pip install pm-data-tools

# Parse any PM file
from pm_data_tools import parse_project
project = parse_project("schedule.mpp")

# Validate NISTA compliance
from pm_data_tools.validators import NISTAValidator
result = NISTAValidator().validate(project)
print(f"Compliance: {result.compliance_score}%")

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:

SpecDescription
Canonical Model12-entity JSON Schema for PM data
MCP Servers4 servers, 19 tools for AI integration
Benchmarks5 evaluation tasks for PM AI
Synthetic DataPrivacy-preserving data generation

Repository Structure

pda-platform/
├── specs/           # Technical specifications
├── packages/        # Python packages (each publishable to PyPI)
│   ├── pm-data-tools/
│   ├── agent-task-planning/
│   └── pm-mcp-servers/
├── docs/            # Documentation
└── examples/        # Usage examples

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.

Frequently asked questions

What is Project Management AI Analysis?

AI-powered project analysis with risk identification, forecasting, and mitigation generation

How do I install Project Management AI Analysis?

It runs on your machine. In Claude Code: claude mcp add project-management-ai-analysis -- uvx pm-mcp-servers==0.3.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Project Management AI Analysis need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Project Management AI Analysis open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Project Management AI Analysis?

It is published by PDA-Task-Force. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.