Calorie Tracker MCP Server
Tracks daily calorie intake with accurate BMR/TDEE calculations, food logging, and profile management via Cloudflare Workers and D1 database.
README
Calorie Tracker MCP Server
MCP server for tracking daily calorie intake with accurate BMR/TDEE calculations. Built on Cloudflare Workers with D1 database.
Features
- Food Tracking: Add, update, delete food entries with macros
- Profile Management: BMR/TDEE calculations using Mifflin-St Jeor equation
- Historical Data: Track weight, body composition over time
- Secure: OAuth 2.1 authentication with PKCE support
Quick Setup
pnpm install
# Create resources and update wrangler.jsonc with IDs
npx wrangler d1 create calorie-tracker
npx wrangler kv:namespace create OAUTH_KV
# Run migrations and start dev server
npx wrangler d1 migrations apply calorie-tracker --local
pnpm run dev
OAuth Client Registration
Set an admin API key:
# Development: Update wrangler.jsonc vars.ADMIN_API_KEY
# Production: Use secrets
npx wrangler secret put ADMIN_API_KEY
Register an OAuth client to obtain credentials:
curl -X POST http://localhost:8787/oauth/register \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_ADMIN_API_KEY" \
-d '{
"client_name": "Claude Desktop",
"redirect_uris": ["http://127.0.0.1/callback", "http://localhost/callback"],
"user_id": "admin"
}'
Note: Claude Desktop will specify its callback URL during the OAuth flow. If you get a redirect URI mismatch error, check Claude Desktop's OAuth logs for the actual callback URL it expects.
Response:
{
"client_id": "uuid-client-id",
"client_secret": "generated-secret",
"client_name": "Claude Desktop"
}
Claude Configuration
Option 1: Bearer Token (Personal/Pro/Max)
Simple authentication using client secret as bearer token:
-
Register OAuth client:
curl -X POST http://localhost:8787/oauth/register \ -H "Content-Type: application/json" \ -H "X-API-Key: YOUR_ADMIN_API_KEY" \ -d '{ "client_name": "Claude Desktop", "redirect_uris": ["https://claude.ai/api/mcp/auth_callback"], "user_id": "admin" }'Save the
client_secretfrom response. -
Claude Desktop config (
claude_desktop_config.json):{ "mcpServers": { "calorie-tracker": { "command": "npx", "args": ["mcp-remote", "http://localhost:8787/sse"], "env": { "BEARER_TOKEN": "<client_secret from registration>" } } } }
Option 2: OAuth with Client Credentials (Team/Enterprise Only)
Private connector with Client ID/Secret:
-
Register OAuth client with callback URL
https://claude.ai/api/mcp/auth_callback -
Add custom connector in Claude:
- Name: Calorie Tracker
- Remote MCP server URL:
https://YOUR-WORKER.workers.dev/sse - OAuth Client ID:
<client_id from registration> - OAuth Client Secret:
<client_secret from registration>
Production Deployment
Deploy to Cloudflare Workers for mobile/web access:
pnpm run deploy
pnpm run migrate
npx wrangler secret put ADMIN_API_KEY
Tools
Food Tracking:
list_entries- List food entries with paginationadd_entry- Add food entry with macrosupdate_entry- Update existing entrydelete_entry- Delete entry
Profile Management:
get_profile- Get profile with BMR/TDEE calculationsupdate_profile- Update profile data (height, weight, activity level)get_profile_history- Historical tracking data
Admin:
register_user- Register new userrevoke_user- Revoke user access
BMR/TDEE Calculations
Uses Mifflin-St Jeor equation (gold standard):
Male: BMR = (10 × weight) + (6.25 × height) - (5 × age) + 5
Female: BMR = (10 × weight) + (6.25 × height) - (5 × age) - 161
TDEE: BMR × Activity Multiplier (1.2 - 1.9)
Development
pnpm test # Run tests
pnpm run type-check # TypeScript validation
pnpm run deploy # Deploy to production
pnpm run migrate # Run migrations on remote
Tech Stack
- Runtime: Cloudflare Workers
- Database: D1 (SQLite)
- Language: TypeScript
- Validation: Zod
- Testing: Vitest
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.