fatsecret-mcp-server
Enables searching and retrieving nutrition data, recipes, and managing food diary entries through the FatSecret API.
README
FatSecret MCP Server
A remote Model Context Protocol server for the FatSecret nutrition API, deployed on Cloudflare Workers.
MCP Tools
| Tool | Description |
|---|---|
search_foods |
Search the FatSecret food database |
get_food |
Get detailed nutrition info for a food |
search_recipes |
Search for recipes |
get_recipe |
Get recipe details, ingredients, and instructions |
get_user_profile |
Get the authenticated user's profile |
get_user_food_entries |
Get food diary entries for a date |
add_food_entry |
Log a food entry to the user's diary |
get_weight_month |
Get weight entries for a month |
check_auth_status |
Check current authentication status |
Self-Hosting
Prerequisites
- A FatSecret developer account with API credentials
- Wrangler CLI installed
Deploy
# Clone and install
git clone https://github.com/fcoury/fatsecret-mcp.git
cd fatsecret-mcp
npm install
# Create KV namespace and note the ID
npx wrangler kv namespace create OAUTH_KV
# Update wrangler.jsonc with your KV namespace ID
# Set the encryption secret (generate with: openssl rand -hex 32)
npx wrangler secret put COOKIE_ENCRYPTION_KEY
# Deploy
npm run deploy
Usage
- Visit your deployed server URL (e.g.
https://fatsecret-mcp-server.<you>.workers.dev) - Click Setup Your Account
- Enter your FatSecret Client ID, Client Secret, and Consumer Secret
- Connect your FatSecret account via OAuth
- Copy the MCP configuration shown on the setup page into your MCP client
The configuration looks like:
{
"mcpServers": {
"fatsecret": {
"url": "https://fatsecret-mcp-server.<you>.workers.dev/mcp",
"transport": {
"type": "http",
"headers": {
"Authorization": "Bearer <your-session-token>"
}
}
}
}
}
Development
npm run dev # Local dev server on port 8787
npm run test # Run tests (vitest)
npm run test:run # Run tests once
npm run type-check # TypeScript type checking
npm run format # Format with Biome
npm run lint:fix # Lint and auto-fix with Biome
License
MIT
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.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.