Project Management AI Analysis

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

Quick Install

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "project-management-ai-analysis": {
      "command": "uvx",
      "args": [
        "pm-data-tools"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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This repository is no longer maintained or supported.

The contact email info@pdataskforce.com is no longer active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

Component	Description	Status
pm-data-tools	Universal PM data parser (8 formats + NISTA)	v0.2.0 ✅
agent-task-planning	AI reliability framework	v1.0.0 ✅
pm-mcp-servers	MCP servers for Claude integration	Phase 1 ✅
Specifications	Canonical model, benchmarks, synthetic data	Published ✅

Quick Start

server.ts

# 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:

Spec	Description
Canonical Model	12-entity JSON Schema for PM data
MCP Servers	4 servers, 19 tools for AI integration
Benchmarks	5 evaluation tasks for PM AI
Synthetic Data	Privacy-preserving data generation

Repository Structure

Code

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.

Read the full README →View source on GitHub →

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Adoption & maintenance

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Last commit

7mo ago

Most recent push to the default branch.

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Frequently Asked Questions about Project Management AI Analysis

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "project-management-ai-analysis": { "command": "uvx", "args": ["pm-data-tools"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

0/15 checks healthy over the last 45d

24Quality signal: Emerging · 24/100How this signal is calculated ▾

Server availability0/25

Verified ownership8/20

Documentation & tools16/30

Adoption & activity0/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 4d ago via OSV.dev · pm-data-tools (PyPI)

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