How do I install Project Management Data Tools?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Project Management Data Tools need an API key?

No required environment variable is listed on this record.

What transport does Project Management Data Tools use?

Project Management Data Tools runs locally over stdio.

When was Project Management Data Tools last checked?

Last checked 2026-11-09. Parse and convert project data from 8 formats (MSPDI, P6 XER, NISTA, Jira, Monday, etc.)

Project Management Data Tools MCP server

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

uvx pm-mcp-servers==0.3.0

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1claude mcp add io.github.antnewman-pm-data -- uvx pm-mcp-servers==0.3.0

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.antnewman-pm-data": {4      "command": "uvx",5      "args": [6        "pm-mcp-servers==0.3.0"7      ]8    }9  }10}

claude_desktop_config.json

Local · pypiPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 0.3.0
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

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This repository is no longer maintained or supported.

The contact email [email protected] is no longer active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.

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

# 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

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.