Huckleberry MCP Server

Unofficial Huckleberry baby tracker MCP server for Claude, Cursor, VS Code, and other AI assistants. Query and log baby sleep, feeds, diapers, pumping, solids, potty, and growth records.

Expose Huckleberry's data (sleep, feeding, growth, diapers, solids) directly in Claude Desktop, or integrate the MCP server into other AI applications.

Installation

Requirements

• Node.js 18+ (CI runs on Node 24)
• npm 9+

Quick Start

npm install -g node-huckleberry-mcp

Or use directly via npx:

npx node-huckleberry-mcp

From source

git clone https://github.com/KenLSM/node-huckleberry-mcp.git
cd node-huckleberry-mcp
npm install
npm run build
node dist/index.js

Configuration

Environment Variables

The server reads credentials from environment variables:

HUCKLEBERRY_EMAIL=you@example.com
HUCKLEBERRY_PASSWORD=your-password
HUCKLEBERRY_TIMEZONE=America/New_York

Create a .env file in your project root (see .env.example for a template):

cp .env.example .env
# Edit .env with your Huckleberry credentials

Note: Never commit .env to version control. The .gitignore already excludes it.

Claude Desktop Integration

To use this server with Claude Desktop, add it to your claude_desktop_config.json:

macOS/Linux: ~/.config/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "huckleberry": {
      "command": "npx",
      "args": ["node-huckleberry-mcp"],
      "env": {
        "HUCKLEBERRY_EMAIL": "you@example.com",
        "HUCKLEBERRY_PASSWORD": "your-password",
        "HUCKLEBERRY_TIMEZONE": "America/New_York"
      }
    }
  }
}

After updating the config, restart Claude Desktop. The Huckleberry tools will appear in the tool list.

Tools

The server exposes 24 tools across 6 categories. (Active-session sleep/feed timers — start_sleep, pause_feeding, etc. — are not implemented; use the explicit log_* tools to record completed events.)

Child Management (2)

Tool	Input	Output
get_user	—	User profile + child UID list
get_child	child_uid	Child profile (childsName, gender, birthdate)

Sleep (3)

Tool	Input	Purpose
log_sleep	child_uid, start, end (epoch s), notes?	Log a completed sleep session
get_sleep_history	child_uid, limit?	Recent sleep sessions (incl. id)
edit_sleep	child_uid, interval_id, + any of start/duration/notes	Edit an existing sleep entry

Feeding (8)

Tool	Input	Purpose
log_nursing	child_uid, start, left_duration?, right_duration?, last_side?, notes?	Log a nursing session
log_bottle	child_uid, start, amount, bottle_type, units, notes?	Log a bottle feeding
log_solids	child_uid, start, notes?	Log a solids feeding
log_pump	child_uid, start, left_amount/right_amount or total_amount, units, duration?, notes?	Log a pumping session
list_pump_intervals	child_uid, limit?	Recent pump sessions (incl. id)
get_feed_history	child_uid, limit?	Recent feeds (incl. id), newest first
edit_feed	child_uid, interval_id, + any of start/amount/bottle_type/units/left_duration/right_duration/last_side/notes	Edit an existing feed entry
edit_pump	child_uid, interval_id, + any of start/left_amount/right_amount/units/duration/notes	Edit an existing pump entry

Diaper (4)

Tool	Input	Purpose
log_diaper	child_uid, mode (pee/poo/both/dry), start, color?, consistency?, pee_amount?, poo_amount?, notes?	Log a diaper change
log_potty	child_uid, mode (pee/poo), start, notes?	Log potty training activity
get_diaper_history	child_uid, limit?	Diaper + potty history (incl. id)
edit_diaper	child_uid, interval_id, + any of start/mode/color/consistency/pee_amount/poo_amount/notes	Edit an existing diaper/potty entry

Growth (4)

Tool	Input	Purpose
log_growth	child_uid, weight?, height?, head?, units? (metric/imperial), start?, notes?	Log a growth measurement
get_latest_growth	child_uid	Most recent growth measurement (incl. id)
get_growth_history	child_uid, limit?	Growth history (incl. id)
edit_growth	child_uid, entry_id, + any of start/weight/height/head/units/notes	Edit an existing growth measurement

Solids — custom foods (3)

Tool	Input	Purpose
list_curated_foods	—	Fetch the curated food database
list_custom_foods	child_uid	List custom foods for a child
create_custom_food	child_uid, name, category?, allergens?, notes?	Create a custom food entry

All start/end inputs are epoch seconds. Times are stored with a timezone offset derived from HUCKLEBERRY_TIMEZONE.

Every log_* tool accepts an optional free-text notes field, which is stored on the entry and returned by the matching history/get_* tool (each read entry includes its Firestore id). The edit_* tools (edit_sleep, edit_feed, edit_pump, edit_diaper, edit_growth) update notes and other fields on an existing entry — pass the id/interval_id/entry_id from the matching read.

Prompts

The server also exposes MCP prompts (slash-command-style templates in clients that support them): huckleberry_usage (loads the usage conventions), daily_summary (date?), and log_event (event).

Agent skill

skills/huckleberry/SKILL.md teaches an assistant how to use these tools correctly (child resolution, natural-language time → epoch seconds, units, confirm-before-write). Copy it into your Claude skills directory to make the MCP smoother to use.

Development

Scripts

npm run build            # TypeScript → JavaScript (tsc)
npm run lint             # Lint with oxlint
npm run lint:fix         # Lint and auto-fix
npm run format           # Format with oxfmt
npm run format:check     # Check formatting without changes
npm test                 # Run unit tests (Vitest)
npm run test:watch       # Watch mode for tests
npm run test:integration # Live tests (needs HUCKLEBERRY_* creds; skipped otherwise). Read-only by default; set HUCKLEBERRY_ALLOW_WRITES=1 to also run the log_*→delete write round-trip (test account only)
npm run inspect:schema   # Dump real Firestore shapes (needs creds) — see docs/integration-testing.md
npm run smoke            # Build + run the MCP server smoke test
npm run dev              # Run in dev mode (tsx)

Toolchain

• TypeScript 5.3+ with strict mode
• oxc (oxlint + oxfmt) — fast, Rust-based linting & formatting
• Vitest — unit test runner
• Zod — runtime data validation
• Firebase JS SDK — Firestore + Auth

Architecture

src/
├── auth/            # Authentication (T1.1)
├── client/          # Huckleberry API operations (T1.2–T1.9)
├── models/          # Zod schemas for Firestore docs (T1.3)
├── server/          # MCP server framework (T2.1–T2.2)
├── tools/           # MCP tool implementations (T2.3–T2.8)
├── __tests__/       # Unit & smoke tests
└── index.ts         # Entry point

See AGENTS.md for architecture details and conventions.

Testing

Unit tests are in src/__tests__/ and use Vitest with Firebase mocked:

npm test

Run a single test file:

npm test -- models.test.ts

Watch mode:

npm run test:watch

Live integration (gated) validates against a real account and is skipped without credentials. It is read-only by default; an opt-in log_*→delete write round-trip runs only with HUCKLEBERRY_ALLOW_WRITES=1 (use a test account) — see docs/integration-testing.md:

# read-only schema validation
HUCKLEBERRY_EMAIL=… HUCKLEBERRY_PASSWORD=… npm run test:integration

# also exercise log_*→delete writes (test account only)
HUCKLEBERRY_EMAIL=… HUCKLEBERRY_PASSWORD=… HUCKLEBERRY_ALLOW_WRITES=1 npm run test:integration

Licensing & Attribution

This project is a Node.js port of two MIT-licensed projects:

• py-huckleberry-api © 2025 Woyken (GitHub, MIT License)
• py-huckleberry-mcp © 2026 Huckleberry MCP Contributors (GitHub, MIT License)

This port includes substantial design and implementation from both upstream projects.

Safety & Privacy

• No data is stored locally. All operations are authenticated reads/writes to your Huckleberry Firestore database.
• Credentials are environment-based. Never commit .env or hardcode credentials.
• This is an unofficial client of a third-party service; the API is reverse-engineered and may change.

Support

• Documentation: See AGENTS.md for contributor guidance.
• Issues: Report bugs or request features on GitHub Issues.
• Upstream: For questions about Huckleberry data or API changes, see the original Python projects.

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Built with ❤️ as a Node/TypeScript port of py-huckleberry-api and py-huckleberry-mcp.