
Cronometer
- 15 repo stars
- Updated March 8, 2026
- cphoskins/cronometer-mcp
Cronometer MCP is a MCP server that syncs Cronometer food logs, macros, fasting, biometrics, and recurring foods to agents over stdio.
About
Cronometer MCP is a stdio Model Context Protocol server that syncs and exposes data from a user’s Cronometer account—food diaries, macronutrients, fasting periods, biometrics, and recurring meals—to AI coding agents. developers creating nutrition coaches, habit apps, or personal analytics side projects can register it so agents reason over real structured intake instead of invented meal plans. The PyPI-distributed cronometer-mcp package (v2.0.3) expects email and password credentials plus an optional data directory for persisted sync files, which suits local-first agent loops that read exported state from disk. Catalog placement is Build → Integrations because the server’s job is bridging your codebase to an external health log, not operating production monitors or running ad campaigns. Treat credentials as highly sensitive and prefer dedicated app passwords if Cronometer supports them. Complexity is intermediate due to authentication, sync semantics, and respecting user health data privacy. It is a strong fit when your agent needs grounded answers about what a developer actually ate or tracked; it is a poor fit for public recipe SEO or clinical compliance without proper review.
- PyPI package cronometer-mcp version 2.0.3 with stdio transport
- Covers food logs, macros, fasting, biometrics, and recurring foods
- Authenticates with CRONOMETER_USERNAME and CRONOMETER_PASSWORD
- Optional CRONOMETER_DATA_DIR for local sync output (default under ~/.local/share/cronometer-mcp/)
- Open-source cphoskins/cronometer-mcp for health-tracking agent workflows
Cronometer by the numbers
- Data as of Jul 28, 2026 (Skillselion catalog sync)
claude mcp add --env CRONOMETER_USERNAME=YOUR_CRONOMETER_USERNAME --env CRONOMETER_PASSWORD=YOUR_CRONOMETER_PASSWORD --env CRONOMETER_DATA_DIR=YOUR_CRONOMETER_DATA_DIR cronometer-mcp -- uvx cronometer-mcpAdd your badge
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| repo stars | ★ 15 |
|---|---|
| Package | cronometer-mcp |
| Transport | STDIO |
| Auth | Required |
| Last updated | March 8, 2026 |
| Repository | cphoskins/cronometer-mcp ↗ |
What it does
Pull Cronometer food logs, macros, fasting windows, biometrics, and recurring foods into agent-assisted health or quantified-self app development.
Who is it for?
Best when you're building nutrition dashboards, coaching bots, or quantified-self tooling tied to Cronometer as the system of record.
Skip if: Skip if you're without Cronometer accounts, clinical deployments needing HIPAA-grade pipelines, or products that only need static USDA food databases.
What you get
After configuring Cronometer credentials, your agent can query and analyze synced nutrition and biometric datasets while you implement features.
- Synced Cronometer datasets accessible as MCP tools
- Local sync directory for agent-readable nutrition and biometric exports
- Agent-grounded macro and meal analysis during feature development
By the numbers
- Server version 2.0.3
- 5 documented data domains: food logs, macros, fasting, biometrics, recurring foods
- 3 environment variables (2 required credentials plus optional data dir)
README.md
cronometer-mcp
An MCP (Model Context Protocol) server that provides access to your Cronometer nutrition data. Pull detailed food logs, daily macro/micro summaries, manage diary entries, fasting, biometrics, and recurring foods — all from Claude, Cursor, or any MCP-compatible client.
Requires a Cronometer Gold account (or any paid tier that supports web login).
Features
- Food log — individual food entries with full macro and micronutrient breakdown
- Daily nutrition — daily calorie, protein, carb, fat, and fiber totals
- Micronutrients — detailed vitamin/mineral breakdown with period averages
- Diary management — add/remove food entries, copy entire days, mark days complete
- Recurring foods — create, list, and delete repeat items that auto-log on selected days
- Macro targets — read/write daily targets, create templates, set weekly schedules
- Fasting — view history and stats, cancel or delete fasts
- Biometrics — log and remove weight, blood glucose, heart rate, body fat
- Raw CSV export — servings, daily summary, exercises, biometrics, or notes
- Sync to disk — download JSON exports and generate a markdown food log
Quick Start
1. Install
pip install cronometer-mcp
Or install from source:
git clone https://github.com/cphoskins/cronometer-mcp.git
cd cronometer-mcp
pip install -e .
2. Set credentials
export CRONOMETER_USERNAME="your@email.com"
export CRONOMETER_PASSWORD="your-password"
Or add them to a .env file in your project root (if your MCP client supports it).
3. Configure your MCP client
Claude Code (.mcp.json)
{
"mcpServers": {
"cronometer": {
"command": "cronometer-mcp",
"env": {
"CRONOMETER_USERNAME": "your@email.com",
"CRONOMETER_PASSWORD": "your-password"
}
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"cronometer": {
"command": "cronometer-mcp",
"env": {
"CRONOMETER_USERNAME": "your@email.com",
"CRONOMETER_PASSWORD": "your-password"
}
}
}
}
If you installed from source with pip install -e ., you can also use the full Python path:
{
"command": "/path/to/venv/bin/python",
"args": ["-m", "cronometer_mcp.server"]
}
Available Tools
Food Log & Nutrition
| Tool | Description |
|---|---|
get_food_log |
Individual food entries with macros + micros for a date range |
get_daily_nutrition |
Daily macro totals (calories, protein, carbs, fat, fiber) |
get_micronutrients |
Detailed vitamin/mineral breakdown with period averages |
export_raw_csv |
Raw CSV export for any data type (servings, exercises, biometrics, etc.) |
Food Search & Diary Management
| Tool | Description |
|---|---|
search_foods |
Search the Cronometer food database |
get_food_details |
Get full nutrition info and serving measure IDs for a food |
add_food_entry |
Add a food entry to the diary |
remove_food_entry |
Remove a food entry from the diary |
copy_day |
Copy all diary entries from one date to another |
set_day_complete |
Mark a diary day as complete or incomplete |
Recurring Foods (Repeat Items)
| Tool | Description |
|---|---|
get_repeated_items |
List all recurring food entries |
add_repeat_item |
Add a recurring food entry that auto-logs on selected days |
delete_repeat_item |
Delete a recurring food entry |
Macro Targets & Templates
| Tool | Description |
|---|---|
get_macro_targets |
Get daily macro targets (or full weekly schedule with target_date="all") |
set_macro_targets |
Update daily macro targets (partial updates supported) |
list_macro_templates |
List all saved macro target templates |
create_macro_template |
Create a new saved macro target template |
set_weekly_macro_schedule |
Assign a template to days of the week as the recurring default |
Fasting
| Tool | Description |
|---|---|
get_fasting_history |
View all fasts or fasts within a date range |
get_fasting_stats |
Aggregate fasting statistics (total hours, longest, averages) |
cancel_active_fast |
Cancel an in-progress fast while preserving the recurring schedule |
delete_fast |
Delete a fast entry |
Biometrics
| Tool | Description |
|---|---|
get_recent_biometrics |
Get recently logged biometric entries |
add_biometric |
Log weight (lbs), blood glucose (mg/dL), heart rate (bpm), or body fat (%) |
remove_biometric |
Remove a biometric entry |
Sync
| Tool | Description |
|---|---|
sync_cronometer |
Download JSON exports + generate food-log.md to disk |
Tool Parameters
All date parameters use YYYY-MM-DD format. Most tools default to today or the last 7 days when dates are omitted.
Key parameter patterns:
diary_group— one of"Breakfast","Lunch","Dinner","Snacks"(case-insensitive)days_of_week—"all","weekdays","weekends", or comma-separated day numbers (0=Sun through6=Sat)measure_id— pass0to use the universal gram-based measure (works for all food sources)target_date— pass"all"onget_macro_targetsto get the full weekly schedule
Sync Output
The sync_cronometer tool saves files to ~/.local/share/cronometer-mcp/ by default. Override with the CRONOMETER_DATA_DIR environment variable:
export CRONOMETER_DATA_DIR="/path/to/your/project/data/cronometer"
Output files:
exports/servings_{start}_{end}.jsonexports/daily_summary_{start}_{end}.jsonexports/servings_latest.jsonexports/daily_summary_latest.jsonfood-log.md
How It Works
Cronometer does not have a public API for individual users. This server uses the same GWT-RPC (Google Web Toolkit Remote Procedure Call) protocol that the Cronometer web app uses internally:
- Fetches the login page to get an anti-CSRF token
- POSTs credentials to authenticate
- Calls GWT-RPC
authenticateto get a user ID - Calls GWT-RPC
generateAuthorizationTokenfor short-lived export tokens - Downloads CSV exports using the token
- Calls GWT-RPC methods directly for diary edits, fasting, biometrics, macro targets, and repeat items
Session cookies are persisted to ~/.local/share/cronometer-mcp/.session_cookies so that subsequent invocations reuse the session without re-authenticating (Cronometer has aggressive login rate limiting).
GWT Magic Values
The GWT protocol uses a permutation hash and header value that are baked into each Cronometer web deploy. These values are hardcoded in the client and may break when Cronometer pushes a new build.
Current values (as of February 2026):
- Permutation:
7B121DC5483BF272B1BC1916DA9FA963 - Header:
2D6A926E3729946302DC68073CB0D550
If authentication starts failing with GWT errors, these values likely need updating. You can find the current values by:
- Opening Cronometer in your browser
- Going to Developer Tools → Network tab
- Looking for requests to
cronometer.com/cronometer/app - Checking the
x-gwt-permutationheader and the payload structure
You can override them via the CronometerClient constructor:
from cronometer_mcp import CronometerClient
client = CronometerClient(
gwt_permutation="NEW_PERMUTATION_HASH",
gwt_header="NEW_HEADER_VALUE",
)
Python API
You can also use the client directly in Python:
from datetime import date, timedelta
from cronometer_mcp import CronometerClient
client = CronometerClient() # reads from env vars
# Get today's food log
foods = client.get_food_log()
# Get last 7 days of daily summaries
start = date.today() - timedelta(days=7)
summaries = client.get_daily_summary(start)
# Raw CSV export
csv_text = client.export_raw("exercises", start, date.today())
# Copy a day's diary entries
client.copy_day(date(2026, 3, 1), date(2026, 3, 8))
# Add a recurring food entry (every weekday)
client.add_repeat_item(
food_source_id=12345,
measure_id=0, # universal gram-based measure
quantity=200,
food_name="Oatmeal",
diary_group=1, # Breakfast
days_of_week=[1, 2, 3, 4, 5],
)
# Log a biometric
client.add_biometric("weight", 218.5, date.today())
License
MIT
Recommended MCP Servers
How it compares
Personal nutrition-account MCP bridge, not a generic calorie database or fitness marketplace skill.
FAQ
Who is io.github.cphoskins/cronometer for?
Developers and health-tech hobbyists who log food in Cronometer and want MCP access for agent-assisted app development and analysis.
When should I use io.github.cphoskins/cronometer?
Use it during Build when integrating meal tracking, macro summaries, fasting stats, or biometric trends from Cronometer into your product or scripts.
How do I add io.github.cphoskins/cronometer to my agent?
Run the cronometer-mcp PyPI package with stdio in your MCP config, set CRONOMETER_USERNAME and CRONOMETER_PASSWORD, and optionally CRONOMETER_DATA_DIR for sync output.