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  3. Epoch
Epoch logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 9:45:56 PM

Epoch

User RatingsBe the first to rate and review this MCP server!
View Repository7 GitHub StarsTotal stargazers on GitHub for the source repository (7 stars).Visit Website
developer-toolsestimationproject-planningscheduling

Estimate project timelines, business days, token costs, schedule risk, and forecast accuracy through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "kyanitelabs-epoch": {
      "command": "npx",
      "args": [
        "-y",
        "@kyanitelabs/epoch"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ“‹ More in Product Management

Overview

KyaniteLabs/Epoch MCP server gives AI agents tools for time estimation, calendar calculations, project scheduling, token-cost analysis, and estimate feedback. It packages PERT, COCOMO II, Monte Carlo, critical-path, sprint-forecasting, and reference-class methods behind 25 MCP tools, with a bundled reference database for immediate estimates. Install it locally through npm and connect it to supported MCP clients such as Cursor or Windsurf. Reach for it when an agent needs quantified duration ranges, business-day calculations, model cost comparisons, or schedule-risk analysis rather than informal guesses.

Use cases

โ€ขEstimate engineering work with PERT or COCOMO II
โ€ขForecast sprint completion and schedule risk
โ€ขCount business days across supported holiday calendars
โ€ขCompare token costs across AI models
โ€ขTrack estimates against recorded actuals

Key features

โ€ขPERT and COCOMO II estimation
โ€ขMonte Carlo schedule forecasting
โ€ขBusiness-day and timezone calculations
โ€ขToken cost and model comparison
โ€ขReference-class estimation
โ€ขEstimate feedback and calibration

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Epoch.

Extracted Tool Capabilities
PERT and COCOMO II estimation
Monte Carlo schedule forecasting
Business-day and timezone calculations
Token cost and model comparison
Reference-class estimation
Estimate feedback and calibration

How Epoch works

What KyaniteLabs/Epoch MCP server does

KyaniteLabs/Epoch MCP server exposes 25 tools for temporal calculations, project estimation, scheduling, cost analysis, risk assessment, and feedback tracking. It is intended for engineering leads, planners, and AI agents that need estimates with explicit assumptions and ranges.

The estimation layer includes PERT three-point estimates, COCOMO II calculations, sprint forecasts, critical-path analysis, and Monte Carlo schedule simulation. Reference-class estimation and context-based estimation use the bundled reference data to provide estimates without requiring an initial history of locally recorded tasks. The server can also compare model costs, connect token counts to time, and report estimation accuracy trends.

How it works

MCP clients invoke individual tools with structured inputs and receive structured results. Core temporal tools handle current time, IANA timezone conversion, duration parsing, and date arithmetic. Calendar tools add or count business days while considering weekends and bundled holiday calendars for the United States, United Kingdom, France, Germany, and Japan.

For project planning, inputs can include optimistic, most-likely, and pessimistic durations, project size, sprint information, or task relationships. Outputs may include expected durations, variance, confidence intervals, risk indicators, and schedule results. Cost tools compare token expenses across supported AI models, while feedback tools record actual outcomes and expose pending estimates, batch recording, and feedback-health information.

The server includes a reference database containing 117,791 data points across task types, complexity levels, and estimation tools. Recorded actuals can be used by its feedback and calibration features to improve future estimates based on observed performance.

Setup and configuration

The KyaniteLabs/Epoch MCP server runs locally through the npm package @kyanitelabs/epoch. A direct MCP configuration uses the npx command with the package as its argument:

config.json
{
  "mcpServers": {
    "epoch": {
      "command": "npx",
      "args": ["@kyanitelabs/epoch"]
    }
  }
}

The README also documents setup for Claude Code, Cursor, VS Code, and Windsurf. No API key, account, or additional data-collection setup is described as required for the bundled reference database. The repository additionally contains an agent skill at skills/epoch/SKILL.md for hosts that support compatible agent skills.

Tools and capabilities

Notable tool groups include:

  • get_current_time, convert_timezone, parse_duration, and time_math for time operations.
  • add_business_days and count_business_days for holiday-aware calendar calculations.
  • pert_estimate, cocomo_estimate, sprint_forecast, critical_path, and monte_carlo_schedule for planning and forecasting.
  • reference_class_estimate, estimate_from_context, calibrate_estimates, and token_time_bridge for analytics.
  • token_cost_estimate, compare_models, accuracy_trend, and schedule_risk for cost and risk analysis.
  • record_actual, get_pending_estimates, batch_record_actuals, and feedback_health for estimate-vs-actual tracking.

Business-day country values must use two-letter country codes. Countries without a bundled holiday set fall back to weekend-only calculations.

Limitations and notes

The README describes bundled holiday support for five countries; it does not document country-specific holiday coverage beyond US, UK, France, Germany, and Japan. Estimates depend on the inputs supplied to each method and should be interpreted alongside their reported confidence, variance, or risk information. The provided material does not specify a hosted endpoint, authentication mechanism, or configurable environment variables.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
7
Stargazers on the source repository.
npm downloads
911
Package downloads in the last 30 days.
Last commit
4d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Epoch

Run it locally with `npx -y @kyanitelabs/epoch`, or add `@kyanitelabs/epoch` as the package in an MCP client configuration.

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Technical Specs & Signals

Category๐Ÿ“‹Product Management
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseApache-2.0
ClientsCursor, Windsurf
Last updatedSep 7, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars7
GitHub Star CountTotal stargazers on GitHub representing community popularity (7 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 7, 2026
npm downloads911/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
56Quality signal: Good ยท 56/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity9/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev ยท @kyanitelabs/epoch (npm)

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