Project Management AI Analysis
Run AI-assisted risk scans, forecasts, and mitigation ideas on schedules and WBS data inside your coding agent.
Overview
io.github.antnewman/pm-analyse is a MCP server for the Build phase that runs AI-powered project analysis including risk identification, forecasting, and mitigation generation over stdio.
What is this MCP server?
- AI-powered risk identification on imported project structures
- Forecasting outputs for timeline and resource pressure
- Mitigation suggestions generated from analysis context
- Stdio MCP server (pm-mcp-servers on PyPI, v0.3.0)
- Pairs with pm-data and pm-validate in the PDA platform repo
- Server version 0.3.0
- Stdio transport via pm-mcp-servers on PyPI
- Part of io.github.antnewman PM MCP trio on GitHub PDA-Task-Force/pda-platform
What problem does it solve?
You have schedule or WBS data in the agent but lack fast, structured risk and forecast commentary without exporting to another PM suite.
Who is it for?
Indie builders juggling delivery who already use MCP and want PM analysis beside their repo workflow.
Skip if: Teams that need certified enterprise scheduling, heavy Monte Carlo, or GUI-first P6/MSP workflows only.
What do I get? / Deliverables
Your agent can reason about project health, surface risks, and propose mitigations from the same MCP session where you edit code and docs.
- Risk-oriented analysis outputs the agent can cite in plans or tickets
- Forecast-oriented commentary on timeline pressure
- Mitigation options generated from the analyzed project context
Recommended MCP Servers
Journey fit
How it compares
MCP PM analysis integration, not a standalone Gantt desktop app or a generic brainstorming skill.
Common Questions / FAQ
Who is io.github.antnewman/pm-analyse for?
Solo builders and small teams using Claude Code or Cursor who manage timelines in agent sessions and want AI risk and forecast help on project data.
When should I use io.github.antnewman/pm-analyse?
After you have parseable schedule or project exports and want identification of risks, forward-looking forecasts, and mitigation ideas before committing to a release plan.
How do I add io.github.antnewman/pm-analyse to my agent?
Install the pm-mcp-servers package from PyPI (v0.3.0), register the stdio MCP server in your client config, and restart the agent so analysis tools are available.