Project Management Data Tools

io.github.antnewmanPublished by GitHub account antnewmanv0.3.0Updated Oct 24, 2026

Parse and convert project data from 8 formats (MSPDI, P6 XER, NISTA, Jira, Monday, etc.)

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Overview

AI-generated overview

Local MCP server that parses and converts project management data from formats such as MS Project, Primavera P6, Jira, Monday and NISTA.

What you can do
  • Parse project management files from eight formats, including MSPDI, P6 XER, NISTA, Jira and Monday
  • Convert and migrate project data between those formats
  • Validate project data against the NISTA Programme and Project Data Standard
  • Part of a package that also ships validation, analysis and benchmarking servers for PM data
When to use it
Useful when an assistant needs to read, convert or check project schedules and portfolio data exported from tools like MS Project, Primavera P6, Jira or Monday, especially for NISTA compliance work.
Requirements
Runs locally over stdio as the PyPI package pm-mcp-servers, so a Python environment with pip is needed. No authentication, environment variables or headers are declared.
Before you install
The README states the PDA Task Force closed on 30 January 2026 and this repository is no longer maintained or supported; a maintained fork is mentioned. Project files may contain sensitive commercial or portfolio data, so check where parsed output is sent.

Installation

In SourceWeft

  1. Open Project Management Data Tools in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

PDA Platform

NOTICE: The PDA Task Force closed on 30 January 2026

This repository is no longer maintained or supported.

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

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

bash
# Install the core librarypip install pm-data-tools
# Parse any PM filefrom pm_data_tools import parse_projectproject = parse_project("schedule.mpp")
# Validate NISTA compliancefrom pm_data_tools.validators import NISTAValidatorresult = 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.

Source: README.md at commit f73b088

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.3.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

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  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts