A
licenseA
qualityA
maintenanceTime estimation MCP server for AI agents. It provides PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, token-to-time and cost mapping, and schedule-risk tools.
24
130 npm
7
Apache 2.0
forecast-mcp
by OwnOptic
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TDQS
A4.4/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a distinct purpose: duration, cost, throughput-based completion, deterministic PERT, and sensitivity/variance contribution. Although forecast_duration and pert_estimate both estimate duration, the descriptions clearly distinguish Monte Carlo vs deterministic normal approximation, and forecast_duration vs forecast_cost differ by resource type.
Naming Consistency4/5
All names use consistent snake_case, which is readable and predictable. However, three tools follow a forecast_ object pattern while pert_estimate and sensitivity_analysis use different noun-based patterns, so it is not a uniform verb_noun convention throughout.
Tool Count5/5
Five tools is well-scoped for a project-forecasting server. Each tool covers a genuinely different estimation method or output, with no redundant or filler tools.
Completeness5/5
The surface covers duration, cost, completion timeline from throughput, quick deterministic estimation, and uncertainty drivers. Together these address the core lifecycle of probabilistic project forecasting with no obvious missing operation.
Maintenance
ActivityMaintained
ResponsivenessNo issues