Macro Engine

Macro Engine

Tracks macros and logs meals via plain language by exposing a local USDA food database as an MCP server.

Category
Visit Server

README

Macro Engine

Macro tracking you talk to instead of tap at. A local food database built from open data (USDA FoodData Central), exposed as an MCP server so any Claude surface (a local Claude Code session, or any agent that speaks MCP) can log meals in plain language and answer the only question that matters: what's left today.

Setup

python3 -m venv .venv && .venv/bin/pip install mcp
.venv/bin/python -m macro_engine.etl_fdc          # download + load USDA data (~15k foods)
.venv/bin/python -m unittest discover tests -v    # run tests

Data lands in ~/.local/share/macro-engine/ (macros.db + cached raw/ zips). Override the DB path with MACRO_ENGINE_DB.

MCP registration

claude mcp add macro-engine -- \
  /path/to/macro-engine/.venv/bin/python \
  /path/to/macro-engine/mcp_server.py

Or in a project .mcp.json:

{
  "mcpServers": {
    "macro-engine": {
      "command": "/path/to/macro-engine/.venv/bin/python",
      "args": ["/path/to/macro-engine/mcp_server.py"]
    }
  }
}

Tools: log_meal, remaining, day_summary, search_food, set_targets, add_alias, delete_log_entry.

Architecture

  • macro_engine/db.py — SQLite schema (foods, per-100g nutrients, portions, aliases, log, targets, FTS5 index)
  • macro_engine/etl_fdc.py — USDA FDC bulk-CSV loader (Foundation + SR Legacy
    • FNDDS Survey). Re-runnable; food ids stable across reloads.
  • macro_engine/resolve.py — phrase → food: learned aliases first, then FTS5 with source-quality re-ranking
  • macro_engine/tracker.py — logging, targets (append-only, latest wins), day totals, remaining
  • mcp_server.py — FastMCP stdio server

Design rules: log rows carry denormalized macros (history survives data reloads); unresolvable items are returned as problems or logged as flagged estimates, never silently dropped; aliases are the product — every correction teaches the resolver.

Roadmap

  1. Core loop: USDA data + MCP server + fleet wiring (this)
  2. Vault recipe indexer (Wiki/Reference/Recipes/ → per-serving macros)
  3. Open Food Facts import (Canadian packaged goods), miss-queue → recon sourcing, chain-restaurant adapters
  4. Optional UI (standalone PWA or Training Engine feature)

License

MIT. See LICENSE.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured