Advertise
MCP.so
Sign In

Calorie Tracker MCP Server

@thitiph0n

Repository

Basic information

Category

Other

Transports

stdio

Author

thitiph0n

About Calorie Tracker MCP Server

MCP server for tracking daily calorie intake with accurate BMR/TDEE calculations. Built on Cloudflare Workers with D1 database.

#cloudflare#mcp-server#calorie-tracker

Calorie Tracker MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "calorie-tracker-mcp-server": {
      "command": "npx",
      "args": [
        "wrangler",
        "d1",
        "create",
        "calorie-tracker"
      ]
    }
  }
}

Calorie Tracker MCP Server tools

9

List food entries with pagination

Add food entry with macros

Update existing entry

Delete entry

Get profile with BMR/TDEE calculations

Update profile data (height, weight, activity level)

Historical tracking data

Register new user

Revoke user access

Overview

What is Calorie Tracker MCP Server?

MCP server for tracking daily calorie intake with accurate BMR/TDEE calculations. Built on Cloudflare Workers with D1 database, it provides food tracking, profile management, and historical data via API key authentication with role-based access.

How to use Calorie Tracker MCP Server?

Install dependencies with pnpm install, create and migrate the D1 database using Wrangler, then run the development server with pnpm run dev. Configure Claude Desktop by adding the server to mcpServers with a bearer token, and use tools like add_entry, list_entries, and get_profile to interact.

Key features of Calorie Tracker MCP Server

  • Food tracking with add, update, delete and macros
  • Profile management with BMR/TDEE calculations
  • Historical data for weight and body composition
  • Secure API key authentication with role-based access
  • Admin tools for user registration and revocation

Use cases of Calorie Tracker MCP Server

  • Track daily calorie and macronutrient intake
  • Calculate personalized BMR and TDEE using Harris-Benedict equation
  • Monitor weight and body composition changes over time
  • Manage multiple users with admin-level access control
  • Deploy as a scalable serverless application on Cloudflare Workers

Frequently asked questions

1

How are BMR and TDEE calculated?

BMR uses the Harris-Benedict equation (1984 revision) with separate formulas for males and females. TDEE is BMR multiplied by an activity multiplier ranging from 1.2 to 1.9.

2

What authentication does the server use?

The server uses API key authentication with role-based access. You must provide a `BEARER_TOKEN` environment variable matching an admin API key in Claude Desktop config.

3

What is the tech stack?

The server is built with TypeScript on Cloudflare Workers, uses D1 (SQLite) as the database, Zod for validation, and Vitest for testing.

4

How do I deploy to production?

Run `pnpm run deploy` to deploy the server to Cloudflare Workers. Ensure your `wrangler.jsonc` contains the correct D1 database ID.

5

What tools are available for food tracking?

Tools include `list_entries` with pagination, `add_entry` with macros, `update_entry`, and `delete_entry`.

Comments

More Other MCP servers

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Health by Dr Brad

Dr Brad Stanfield

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K
Advertise