$ loading_
Enable AI agents to run project scheduling, CPM, PERT, and earned value analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pmcontrols-mcp" yet — see the docs or source repo.
Using the following task list, create a CPM schedule and calculate ES, EF, LS, LF, total float, and the critical path: Task A 3 days, no predecessor; Task B 5 days, predecessor A; Task C 4 days, predecessor A; Task D 2 days, predecessors B and C.
A schedule showing the critical path, task timing metrics, and total project duration.
Run a PERT estimate for these activities and provide the expected project duration: Activity A optimistic 2 days, most likely 4 days, pessimistic 8 days; Activity B optimistic 1 day, most likely 2 days, pessimistic 3 days; Activity C optimistic 3 days, most likely 5 days, pessimistic 9 days. Also identify high-risk activities.
Expected durations per activity, risk assessment, and an overall project duration estimate.
Using the following data, calculate EVM metrics and interpret project status: BAC = 1,000,000 CNY, PV = 450,000 CNY, EV = 400,000 CNY, AC = 500,000 CNY. Provide CV, SV, CPI, SPI, EAC, and state whether the project is over budget or behind schedule.
Complete earned value metrics, project status interpretation, and cost/schedule warnings.
Plan schedules and analyze cost, time, and progress with project control tools.
Use AI to streamline PRDs, roadmaps, prioritization, and product strategy work.
Manage projects, tasks, and team coordination with lightweight AI-friendly workflows.
Connect AI to Plane to manage projects, tasks, cycles, and modules.
Automate task breakdown, dependency tracking, and smart project recommendations.
Coordinate multiple AI agents on software projects with shared tasks and context.