Project Management Validation

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

Validate project data against NISTA standards, scheduling best practices, and custom rules

VerifiedSTDIODesktop onlyProductivity & WorkflowData & Analytics

Overview

AI-generated overview

Lets an assistant validate project management data against NISTA standards, scheduling best practices, and custom rules.

What you can do
This is the pm-validate server from the pm-mcp-servers package, one of four MCP servers (pm-data, pm-validate, pm-analyse, pm-benchmark) that expose project management data to an assistant. It checks project data for compliance with the NISTA Programme and Project Data Standard, scheduling best practices, and user-defined rules, returning validation results such as a compliance score. It works with project data parsed from formats including MS Project, Primavera P6, Jira, Monday, Asana, Smartsheet, GMPP, and NISTA.
When to use it
Useful when an assistant needs to review a project schedule or portfolio dataset for standards compliance or scheduling quality, for example during a NISTA data standard trial or before migrating project data between tools.
Requirements
Runs locally as a stdio process on a desktop machine; install the pm-mcp-servers Python package (pip install pm-mcp-servers). No authentication, environment variables, or headers are declared. Project data must be supplied in a supported format.
Before you install
The README states the PDA Task Force closed on 30 January 2026 and the repository is no longer maintained or supported, with a maintained fork named elsewhere; the listed contact email is inactive. Validation reads project data, so consider whether that data is sensitive before passing it to the assistant.

Installation

In SourceWeft

  1. Open Project Management Validation 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This repository is no longer maintained or supported.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

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • 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