This server gives Claude access to AI-powered project management analysis capabilities from the PDA Platform's pm-mcp-servers package. It's built on top of the pm-data-tools library, which parses eight different PM formats plus the NISTA standard. The server exposes risk identification, forecasting, and mitigation generation tools that work across MS Project, Primavera P6, Jira, Monday, Asana, Smartsheet, and GMPP files. Reach for this when you need Claude to analyze project schedules, identify delivery risks, or generate mitigation strategies. Note that the original PDA Task Force closed in January 2026, but the code lives on in a maintained fork at antnewman/pda-platform. Built for the NISTA Programme and Project Data Standard trial.
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This repository is no longer maintained or supported.
- The contact email info@pdataskforce.com is no longer active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.
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:
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.
| 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 ✅ |
# 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}%")
Universal parser and validator for project management data.
pip install pm-data-toolsAI reliability framework with confidence extraction and outlier mining.
pip install agent-task-planningMCP servers enabling Claude to interact with PM data.
pip install pm-mcp-serversAll 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 |
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
MIT License - see LICENSE
Members of the PDA Task Force
Built to support the NISTA trial and improve UK project delivery.
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gongrzhe/office-word-mcp-server
io.github.mindstone/mcp-server-office
greirson/mcp-todoist
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ankimcp/anki-mcp-server-addon