cronometer-api-mcp
MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.
README
cronometer-api-mcp
<!-- mcp-name: io.github.rwestergren/cronometer-api-mcp -->
Hosted version for Claude.ai, ChatGPT, and Grok coming soon. Join the waitlist →
An MCP (Model Context Protocol) server for Cronometer nutrition tracking, built on the reverse-engineered mobile REST API.
Unlike cronometer-mcp, which takes a comprehensive GWT-RPC approach against Cronometer's web backend, this server talks to the same JSON REST API used by the Cronometer Android app -- with clean payloads and stable, versioned endpoints.
Features
- Food log -- diary entries with food names, amounts, meal groups
- Nutrition data -- daily macro/micro totals and nutrition scores with per-nutrient confidence
- Food search -- search the Cronometer food database, get detailed nutrition info
- Diary management -- add/remove entries, copy days, mark days complete
- Custom foods -- create foods with custom nutrition data
- Macro targets -- read weekly schedule and saved templates
- Fasting -- view history and aggregate statistics
- Biometrics -- weight, body fat, heart rate, and other tracked metrics over a date range
Quick Start
1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Set credentials
export CRONOMETER_USERNAME="your@email.com"
export CRONOMETER_PASSWORD="your-password"
3. Configure your MCP client
uvx downloads and runs the server on demand -- no separate install step.
OpenCode (opencode.json)
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"cronometer": {
"type": "local",
"command": ["uvx", "cronometer-api-mcp"],
"environment": {
"CRONOMETER_USERNAME": "{env:CRONOMETER_USERNAME}",
"CRONOMETER_PASSWORD": "{env:CRONOMETER_PASSWORD}"
},
"enabled": true
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"cronometer": {
"command": "uvx",
"args": ["cronometer-api-mcp"],
"env": {
"CRONOMETER_USERNAME": "your@email.com",
"CRONOMETER_PASSWORD": "your-password"
}
}
}
}
Available Tools
Food Log & Nutrition
| Tool | Description |
|---|---|
get_food_log |
Diary entries for a date, each enriched with food name, source, serving measure/count, and that food's per-entry nutrient contribution, plus an energy_summary (target/consumed/remaining kcal) and a nutrition_summary of consumed totals for every tracked nutrient |
get_daily_nutrition |
Consumed macro and micronutrient totals for every nutrient tracked in Cronometer |
get_nutrition_scores |
Category scores (Vitamins, Minerals, etc.) with per-nutrient consumed amounts and confidence levels |
Food Search & Details
| Tool | Description |
|---|---|
search_foods |
Search the Cronometer food database by name |
get_food_details |
Full nutrition profile and serving sizes for a food |
Targets & Tracking
| Tool | Description |
|---|---|
get_macro_targets |
Weekly macro schedule and saved target templates |
get_fasting_history |
Fasting history within a date range |
get_fasting_stats |
Aggregate fasting statistics |
All date parameters use YYYY-MM-DD format and default to today when omitted.
Diary Management
| Tool | Description |
|---|---|
add_food_entry |
Log a food serving to the diary |
remove_food_entry |
Permanently delete diary entries — no undo |
add_custom_food |
Create a custom food with specified nutrition |
copy_day |
Copy all entries from the previous day |
mark_day_complete |
Mark a diary day as complete or incomplete |
FORK: hardened fork, read/write. This fork ran read-only through its first eight phases; the owner enabled writes on 2026-07-27. Write tools carry
readOnlyHint: Falseandremove_food_entrycarriesdestructiveHint: True, so clients can warn before mutating. Every tool — read and write — is rate-limited and audited. The biometrics tools (list_biometrics,get_biometrics) remain removed, holding the surface at exactly 13.tests/test_tool_surface.pypins that surface in both directions.Date ranges are capped at 90 days per call, calls are rate-limited to 60/hour, and every call is logged (shapes and counts only, never contents). See
CLAUDE.mdfor the constraints,AUDIT.mdfor the upstream security review, andRUNBOOK.mdfor operations.
Remote Deployment
The server supports remote deployment with OAuth 2.1 authorization (PKCE) for use with Claude.ai and other remote MCP clients.
Environment Variables
| Variable | Required | Description |
|---|---|---|
CRONOMETER_USERNAME |
Yes | Cronometer account email |
CRONOMETER_PASSWORD |
Yes | Cronometer account password |
MCP_TRANSPORT |
No | Transport mode: stdio (default), sse, or streamable-http |
MCP_AUTH_TOKEN |
Remote | HMAC key used to sign and verify access tokens |
MCP_OAUTH_CLIENT_ID |
Remote | OAuth client ID, verified at /token |
MCP_OAUTH_CLIENT_SECRET |
Remote | OAuth client secret, verified at /token |
MCP_AUTHORIZE_PASSPHRASE |
Remote | FORK: required to complete /authorize |
MCP_BASE_URL |
Remote | Public base URL; must match the deployed URL exactly |
MCP_ALLOWED_REDIRECT_ORIGINS |
No | FORK: allowed OAuth redirect origins (default https://claude.ai,https://claude.com) |
PORT |
No | Listen port for remote transports (default 8000) |
FORK: the four variables marked Remote are mandatory whenever
MCP_TRANSPORTissseorstreamable-http— the server refuses to start without them. Upstream treated them as optional and served the diary unauthenticated when they were absent, so a forgotten secret was a silent downgrade to no authentication at all.
Dokku / Heroku Deployment
The project includes a Procfile and .python-version for direct deployment with the Heroku Python buildpack:
# Create app
dokku apps:create cronometer-api-mcp
# Set environment
dokku config:set cronometer-api-mcp \
MCP_TRANSPORT=streamable-http \
MCP_AUTH_TOKEN=$(openssl rand -hex 32) \
MCP_OAUTH_CLIENT_ID=my-client \
MCP_OAUTH_CLIENT_SECRET=$(openssl rand -hex 32) \
MCP_BASE_URL=https://your-domain.com \
CRONOMETER_USERNAME=your@email.com \
CRONOMETER_PASSWORD=your-password
# Deploy
git push dokku main
Claude.ai Remote Connection
When deployed remotely with OAuth configured, connect from Claude.ai using:
- Server URL:
https://your-domain.com/mcp - OAuth Client ID: Value of
MCP_OAUTH_CLIENT_ID - OAuth Client Secret: Value of
MCP_OAUTH_CLIENT_SECRET
Claude.ai will open a browser tab for authorization. Click Authorize to complete the connection.
Development
For local development, copy .env.example to .env and fill in your credentials:
cp .env.example .env
# edit .env
uv run cronometer-api-mcp
The CLI auto-loads .env on startup (dev convenience only). Real environment variables always win over .env, so production deployments and MCP client env blocks are unaffected.
How It Works
This server communicates with mobile.cronometer.com -- the same REST API used by the Cronometer Android/Flutter app. The API was reverse-engineered through:
- Static analysis of
libapp.so(Dart AOT snapshot) from the APK to discover endpoint names - Traffic interception via Frida + mitmproxy to capture exact request/response formats
- Trial-and-error against the live API to confirm payload shapes
The API uses two protocols:
- v2 (
POST /api/v2/*) -- JSON-body auth, used for most operations (food search, diary read/write, nutrition, fasting, macros, biometrics) - v3 (
DELETE /api/v3/user/{id}/*) -- Header-based auth (x-crono-session), used for diary entry deletion
Python API
You can use the client directly:
from cronometer_api_mcp.client import CronometerClient
from datetime import date
client = CronometerClient()
# Search for foods
results = client.search_food("chicken breast")
# Get food details
food = client.get_food(results[0]["id"])
# Log a serving
client.add_serving(
food_id=food["id"],
measure_id=food["defaultMeasureId"],
grams=200,
)
# Get today's diary
diary = client.get_diary()
# Get nutrition scores
scores = client.get_nutrition_scores()
License
MIT
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