KyaniteLabs/Epoch
by Various
Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, cost estimation, and schedule risk tools.
MCP
KyaniteLabs/Epoch
Added 7 June 2026
Overview
KyaniteLabs/Epoch is an MCP server that provides time estimation capabilities for AI agents. It implements multiple estimation models including PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, and token-to-time mapping for cost and schedule risk analysis.
Best for
Best for
Developers building AI agents that need automated time and cost estimation for tasks or sprints
Use cases
- Estimating task durations for AI-driven project planning
- Forecasting sprint timelines and resource allocation
- Mapping token usage to time and cost estimates
Notes
KyaniteLabs/Epoch is an MCP server that provides time estimation capabilities for AI agents. It implements multiple estimation models including PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, and token-to-time mapping for cost and schedule risk analysis.
1 stars on GitHub. Last updated 2026-06-07. Licensed Apache-2.0.
Use cases
- Estimating task durations for AI-driven project planning
- Forecasting sprint timelines and resource allocation
- Mapping token usage to time and cost estimates
Pros
- Supports multiple established estimation models (PERT, COCOMO II, Monte Carlo)
- Integrates with AI agents via the Model Context Protocol
- Written in TypeScript for type safety and broad compatibility
Cons
- Very early stage with only 1 star on GitHub
- Limited community adoption and documentation
- Requires setup and integration effort for custom use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple established estimation models (PERT, COCOMO II, Monte Carlo)
- Integrates with AI agents via the Model Context Protocol
- Written in TypeScript for type safety and broad compatibility
Cons
- Very early stage with only 1 star on GitHub
- Limited community adoption and documentation
- Requires setup and integration effort for custom use
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