io.github.pablo-albaladejo/kaiord

Official registry AI and agents

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

What can you do with io.github.pablo-albaladejo/kaiord?

  • 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http kaiord 'https://kaiord.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "kaiord": {
            "type": "http",
            "url": "https://kaiord.com/mcp"
        }
    }
}
NPM package @kaiord/mcp
Claude Code
claude mcp add kaiord -- npx -y @kaiord/mcp@10.5.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "kaiord": {
            "command": "npx",
            "args": [
                "-y",
                "@kaiord/mcp@10.5.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Kaiord — Open-Source Health & Fitness Data Framework
  2. ✨ Features
  3. 🔒 Local-first architecture
  4. 📚 Documentation
  5. 🧩 Tech Stack
  6. 🏗 Monorepo Layout
  7. 🚀 Quick Start
  8. 🚀 CI/CD Pipeline
  9. 📚 References & Resources
  10. ❤️ Support
  11. 📜 License

Kaiord — Open-Source Health & Fitness Data Framework

kaiord.com | Editor | npm

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!

🔒 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 — see the "Persisted data → Dexie" rule in State Management.
  • Conversions run entirely on your machine. FIT / TCX / ZWO / GCN ↔ KRD conversion happens in-process — 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 — 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.

📚 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

🏗 Monorepo Layout

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

🚀 Quick Start

Try the Web App

Launch Workout Editor →

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

Use the Library
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.


🚀 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 — layer purity, adapter isolation, and the packages/core/src/ directory allowlist (check-architecture.mjs)
  • Package dependency graph — every @kaiord/* dependency must match the spec table (check-package-deps.mjs)
  • Test conventions — should-prefixed titles and Arrange/Act/Assert structure on every test (check-test-title-should.mjs, check-test-aaa.mjs)
  • Privacy — no runtime values interpolated into toasts or console logs (check-no-pii-leakage.mjs)
  • State discipline — no Zustand store writes persistence directly (check-no-zustand-writethrough.mjs)
  • Spec hygiene — 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 — documentation describes the rules, but the guards are what make them true.

Contributing

To contribute to Kaiord:

  1. Fork and clone the repository
  2. Create a feature branch: git checkout -b feature/my-feature
  3. Make your changes following the code style guidelines
  4. Add a changeset: pnpm exec changeset (for version-worthy changes)
  5. Test locally: pnpm -r test and pnpm -r build
  6. Submit a PR: All checks must pass before merging

For detailed contribution guidelines, development workflow, and code standards, see Contributing.


📚 References & Resources

Format Specifications

❤️ Support

If you find Kaiord useful, consider supporting its development:

Your support helps maintain and improve Kaiord for the fitness community!

Built by Pablo Albaladejo


📜 License

MIT © 2025 Pablo Albaladejo See LICENSE for details.

Frequently asked questions

What is io.github.pablo-albaladejo/kaiord?

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

How do I install io.github.pablo-albaladejo/kaiord?

It runs as a remote server. In Claude Code: claude mcp add --transport http kaiord 'https://kaiord.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.pablo-albaladejo/kaiord need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.pablo-albaladejo/kaiord open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.pablo-albaladejo/kaiord?

It is published by pablo-albaladejo. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.