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Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 12:17:26 AM

Kaiord

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository9 GitHub StarsTotal stargazers on GitHub for the source repository (9 stars).Visit Website

Convert, validate, and inspect workout files (FIT, TCX, ZWO, Garmin Connect) for AI agents.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "kaiord": {
      "url": "https://kaiord.com)**"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Kaiord β€” Open-Source Health & Fitness Data Framework

kaiord.com | Editor | npm

License: MIT TypeScript

CI codecov npm version npm version MCP Registry Glama MCP server Sponsor

Kaiord is an open-source framework for creating, converting, and managing health & fitness data.

It provides:

  • @kaiord/core: a TypeScript library with format adapters for .fit, .tcx, .zwo, and .krd (Kaiord) files, plus Garmin Connect API integration.
  • @kaiord/cli: a command-line tool to convert, validate, and compare files across formats.
  • @kaiord/mcp: an MCP server exposing Kaiord tools to AI agents (Claude Desktop, Claude Code, etc.). Published in the official MCP registry as io.github.pablo-albaladejo/kaiord.
  • Workout Editor: a web application to create and edit workout files visually.

✨ Features

  • Visual Workout Editor - Create and edit workouts in your browser
  • Unified JSON-based format .krd (Kaiord Representation Definition)
  • Schema validation (Zod)
  • Round-trip safe conversions between FIT / TCX / ZWO / GCN / KRD
  • Hexagonal architecture & fully typed API

Supported FIT Fields

Workout Metadata

  • Sub-sport categorization: Detailed sport types (trail running, indoor cycling, lap swimming, etc.)
  • Pool dimensions: Pool length and unit for swimming workouts

Workout Steps

  • Coaching notes: Instructional text for each step (max 256 characters)
  • Swimming equipment: Fins, kickboard, paddles, pull buoy, snorkel

Duration Types

  • Time & distance: Standard interval durations
  • Calorie-based: Steps ending after burning specified calories
  • Power-based: Steps ending based on power thresholds (watts)
  • Heart rate conditionals: Steps ending based on HR thresholds (bpm)
  • Repeat conditionals: Repeat blocks until time/distance/calories/HR/power targets reached

Known Limitations

  • Training Stress Score (TSS): The training_peaks_tss duration type is not yet implemented in the FIT converter. This is a TrainingPeaks-specific metric that requires additional mapping logic. Contributions welcome!

πŸ”’ Local-first architecture

Kaiord is local-first: your data lives on your device, because there is no Kaiord server to send it to. There are no accounts and no backend.

  • Storage is your browser's IndexedDB. The Workout Editor persists every workout, template, profile, and setting in a local Dexie.js / IndexedDB database (new KaiordDatabase() in dexie-database.ts), and the UI reads it reactively through useLiveQuery. Nothing is written to a remote database β€” see the "Persisted data β†’ Dexie" rule in State Management.
  • Conversions run entirely on your machine. FIT / TCX / ZWO / GCN ↔ KRD conversion happens in-process β€” client-side in the editor (import-workout-formats.ts, export-workout-formats.ts) or locally in the @kaiord/cli. Files never leave your device to be converted.
  • Sync is opt-in and goes to your cloud. Data leaves the device only if you connect Google Drive. The cloud-sync adapter uses the Google Identity Services drive.appdata scope, so synced data lands in your own Drive's app folder; the access token lives only in memory for the session and is never persisted by Kaiord.
  • Integrations use your logged-in session β€” no credential proxy. Garmin, WHOOP, and Train2Go connect through browser-extension "bridges" (garmin-bridge, whoop-bridge, train2go-bridge) that piggyback on your existing browser session. Per openspec/specs/adapter-contracts/spec.md, a bridge "SHALL NOT store, transmit, or manage user credentials"; authentication is "delegated entirely to the browser's cookie jar." No third-party server proxies your credentials or your data.
  • Works offline. Because all logic and storage are client-side, the editor keeps working with no network connection once loaded.

πŸ“š Documentation

Comprehensive documentation is available in the /docs directory:

  • Getting Started - Installation, basic usage, and quick examples for both library and CLI
  • Architecture - Hexagonal architecture, ports & adapters pattern, and design principles
  • Testing - Testing strategy, TDD workflow, and coverage requirements
  • Deployment - CI/CD pipeline, GitHub Pages deployment, and npm publishing
  • Contributing - Contribution guidelines, development workflow, and code standards
  • KRD Format - Complete specification of the Kaiord Representation Definition format
  • AI Agents - Guidance for AI-assisted development

🧩 Tech Stack

LayerTooling
CoreTypeScript, tsdown, Zod
CLIyargs
Web AppReact, Zustand, Tailwind, Radix UI
TestingVitest, Playwright
Package managerpnpm

πŸ— Monorepo Layout

Code
kaiord/
β”œβ”€ packages/
β”‚  β”œβ”€ core/                β†’ domain types, schemas, ports & use cases
β”‚  β”œβ”€ fit/                 β†’ Garmin FIT format adapter
β”‚  β”œβ”€ tcx/                 β†’ Training Center XML adapter
β”‚  β”œβ”€ zwo/                 β†’ Zwift ZWO format adapter
β”‚  β”œβ”€ garmin/              β†’ Garmin Connect API adapter
β”‚  β”œβ”€ cli/                 β†’ command-line interface
β”‚  β”œβ”€ mcp/                 β†’ MCP server for AI/LLM integration
β”‚  └─ workout-spa-editor/  β†’ web application (https://kaiord.com/app/)
β”œβ”€ docs/   β†’ documentation
β”œβ”€ LICENSE
β”œβ”€ README.md
└─ pnpm-workspace.yaml

πŸš€ Quick Start

Try the Web App

Launch Workout Editor β†’

Create and edit workouts visually in your browser. No installation required.

Use the Library

bash
pnpm install
pnpm -r build
pnpm -r test

# Example usage
pnpm kaiord --help

For detailed installation instructions and usage examples, see the Getting Started Guide.


πŸš€ CI/CD Pipeline

Kaiord uses GitHub Actions for continuous integration and deployment:

  • Automated Testing: Multi-version testing on Node.js 22.x (Maintenance LTS) and 24.x (Active LTS)
  • Code Quality: ESLint, Prettier, and TypeScript strict mode validation
  • Release Automation: Changesets for version management and npm publishing
  • Security: Weekly dependency vulnerability audits, CodeQL static analysis, and automated dependency updates

For complete CI/CD documentation, deployment guides, and npm publishing instructions, see Deployment.

Mechanical invariant guards

Beyond linting, the repo enforces its architecture and conventions with 60+ purpose-built guard scripts under scripts/, each with its own co-located test suite. They run on every commit (husky pre-commit) and in CI (pnpm test:scripts), and cover, among others:

  • Hexagonal architecture β€” layer purity, adapter isolation, and the packages/core/src/ directory allowlist (check-architecture.mjs)
  • Package dependency graph β€” every @kaiord/* dependency must match the spec table (check-package-deps.mjs)
  • Test conventions β€” should -prefixed titles and Arrange/Act/Assert structure on every test (check-test-title-should.mjs, check-test-aaa.mjs)
  • Privacy β€” no runtime values interpolated into toasts or console logs (check-no-pii-leakage.mjs)
  • State discipline β€” no Zustand store writes persistence directly (check-no-zustand-writethrough.mjs)
  • Spec hygiene β€” OpenSpec format, archive dates, and auto-generated indexes stay in sync (check-spec-format.mjs, check-archive-*.mjs)

If a rule matters here, a script enforces it β€” documentation describes the rules, but the guards are what make them true.

Contributing

To contribute to Kaiord:

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

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Reviews

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Frequently Asked Questions about Kaiord

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "kaiord": { "command": "npx", "args": ["-y", "kaiord"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars9
GitHub Star CountTotal stargazers on GitHub representing community popularity (9 stars).
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools16/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

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