Kaiord

Name: Kaiord
Author: pablo-albaladejo

by pablo-albaladejoversion 10.5.0i★ –iComputer or cloud

Registry nameio.github.pablo-albaladejo/kaiord

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiVery new↓ 159/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 8 things (tools) kaiord_get_format_spec, kaiord_list_formats, kaiord_convert, kaiord_validate …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://kaiord.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "kaiord": {
      "command": "npx",
      "args": [
        "-y",
        "@kaiord/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http kaiord https://kaiord.com/mcp

Or run it on your computer

claude mcp add kaiord -- npx -y @kaiord/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "kaiord": {
      "url": "https://kaiord.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "kaiord": {
      "command": "npx",
      "args": [
        "-y",
        "@kaiord/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "kaiord": {
      "type": "http",
      "url": "https://kaiord.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "kaiord": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@kaiord/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://kaiord.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

kaiord_get_format_spec
Get the KRD format specification. Call this before creating or editing KRD documents.
kaiord_list_formats
List all supported fitness data formats with capabilities
kaiord_convert
Convert between fitness data formats (FIT, TCX, ZWO, GCN, KRD). FIT output is returned as base64 text unless output_file is given. On the remote endpoint, ZWO input is checked for well-formedness only, not against the XSD, and only structured workouts are accepted.
kaiord_validate
Validate a KRD JSON document against the schema On the remote endpoint, ZWO input is checked for well-formedness only, not against the XSD, and only structured workouts are accepted.
kaiord_round_trip_validate
Validate round-trip FIT conversion (FIT → KRD → FIT) and report tolerance violations
kaiord_inspect
Inspect a fitness file and return a human-readable summary
kaiord_extract_workout
Extract the structured workout from a fitness file as JSON
kaiord_diff
Compare two fitness files and show differences

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account pablo-albaladejo, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 358 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 8 tool descriptions and found no hidden instructions to the AI

Compared with others in Clinics & healthi

More stars than 0% of the other 1050 servers in this category
Published to the registry more recently than 70% of the other 1050 servers in this category
Basic checks equal to or better than 100% of the other 1050 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Kaiord safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (10.5.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

by thetahealthGrowing↓ 290/wk★ 1.4KUpdated 2 days ago

Runs on your computer✓ thetahealth.ai

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FHIR MCP Server

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Google Health MCP

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

by davidmosiahGrowing↓ 1K/wk★ 79Updated 4 months ago

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Kaiord — Open-Source Health & Fitness Data Framework

[kaiord.com](https://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](https://kaiord.com/app/): a web application to create and edit workout files visually.

✨ Features

[Visual Workout Editor](https://kaiord.com/app/) - 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](./docs/getting-started.md) - Installation, basic usage, and quick examples for both library and CLI
[Architecture](./docs/architecture.md) - Hexagonal architecture, ports & adapters pattern, and design principles
[Testing](./docs/testing.md) - Testing strategy, TDD workflow, and coverage requirements
[Deployment](./docs/deployment.md) - CI/CD pipeline, GitHub Pages deployment, and npm publishing
[Contributing](./CONTRIBUTING.md) - Contribution guidelines, development workflow, and code standards
[KRD Format](./docs/krd-format.md) - Complete specification of the Kaiord Representation Definition format
[AI Agents](./AGENTS.md) - Guidance for AI-assisted development

🧩 Tech Stack

Layer	Tooling
Core	TypeScript, tsdown, Zod
CLI	yargs
Web App	React, Zustand, Tailwind, Radix UI
Testing	Vitest, Playwright
Package manager	pnpm

🏗 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 →](https://kaiord.com/app/)

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](./docs/getting-started.md).

🚀 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](./docs/deployment.md).

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:

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

For detailed contribution guidelines, development workflow, and code standards, see [Contributing](./CONTRIBUTING.md).

📚 References & Resources

Format Specifications

Garmin FIT SDK (JavaScript) - Official FIT protocol implementation
FIT Workout Files Cookbook - Guide to encoding workout files
FIT File Types: Workout - Workout file type specification
Training Center XML (TCX) - Garmin's XML-based format
TCX Schema (XSD) - Official Garmin TCX schema definition
Zwift Workout Format (ZWO) - Zwift's XML-based workout format

❤️ Support

If you find Kaiord useful, consider supporting its development:

⭐ Star this repo to help others discover it
💖 [Sponsor on GitHub](https://github.com/sponsors/pablo-albaladejo)
☕ [Buy me a coffee](https://buymeacoffee.com/pabloalbaladejo)

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

Built by [Pablo Albaladejo](https://pabloalbaladejo.com)

Kaiord

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Clinics & healthi

Common questions

Alternatives

Mirobody

FHIR MCP Server

Google Health MCP

README from the maker

Kaiord — Open-Source Health & Fitness Data Framework

✨ Features

Supported FIT Fields

Workout Metadata

Workout Steps

Duration Types

Known Limitations

🔒 Local-first architecture

📚 Documentation

🧩 Tech Stack

🏗 Monorepo Layout

🚀 Quick Start

Try the Web App

Use the Library

Example usage

🚀 CI/CD Pipeline

Mechanical invariant guards

Contributing

📚 References & Resources

Format Specifications

❤️ Support

📜 License