Project Management Validation
Check imported schedules and PM datasets against NISTA rules, scheduling best practices, and custom validation rules via MCP.
Overview
io.github.antnewman/pm-validate is a MCP server for the Validate phase that validates project data against NISTA standards, scheduling best practices, and custom rules via stdio.
What is this MCP server?
- Validates project data against NISTA-oriented standards
- Applies scheduling best-practice checks on structured inputs
- Supports custom validation rules for team-specific policies
- Stdio MCP server in pm-mcp-servers v0.3.0 on PyPI
- Natural follow-on after pm-data ingestion in the PDA stack
- Server version 0.3.0 via pm-mcp-servers on PyPI
- Validation dimensions: NISTA standards, scheduling best practices, custom rules per description
What problem does it solve?
You cannot trust agent-generated plans or imported schedules until something systematically checks standards and scheduling logic.
Who is it for?
Builders proving schedule integrity on NISTA-heavy or rule-driven engagements before execution.
Skip if: Products with no structured PM artifacts or teams that only need application unit tests.
What do I get? / Deliverables
Validation findings surface in the agent thread so you fix scope and schedule defects before build and ship work accelerates.
- Validation results against NISTA and scheduling practice rules
- Custom-rule violation reports for agent remediation
- A cleaner dataset ready for analysis or stakeholder review
Recommended MCP Servers
Journey fit
How it compares
PM data validation MCP, not a security pentest server or generic linter skill.
Common Questions / FAQ
Who is io.github.antnewman/pm-validate for?
Solo builders and consultants who must show schedules meet NISTA or internal scheduling rules inside an MCP-first workflow.
When should I use io.github.antnewman/pm-validate?
Right after importing or editing project data when you need pass-fail style checks on standards, best practices, and custom rules before committing dates.
How do I add io.github.antnewman/pm-validate to my agent?
Install pm-mcp-servers from PyPI, configure the stdio MCP server, feed structured data from pm-data when possible, and invoke validation tools from your agent.