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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.

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MCP

KyaniteLabs/Epoch

Added 7 June 2026

#agile#ai-agent#ai-tools#cocomo#commander#cost-estimation#critical-path#hono
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

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

How to use

Install

npx tsx scripts/backtest-pert-correction.mjs

Tools exposed

  • EPOCH_TRANSPORT
  • EPOCH_PORT
  • EPOCH_HOST
  • EPOCH_DATA_DIR
  • EPOCH_COMMUNITY_DIR
  • EPOCH_RATE_LIMIT
  • EPOCH_TRUST_PROXY
  • EPOCH_CORS_ORIGINS
  • EPOCH_SOURCE
  • EPOCH_TELEMETRY
  • EPOCH_TELEMETRY_ENDPOINT

Clients listed in this record (not verified here)

Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

1 stars on GitHub. Last updated 2026-06-07. Licensed Apache-2.0.

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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