Wellness Nourish

Name: Wellness Nourish
Author: davidmosiah

by davidmosiahversion 0.7.0i★ 11iRuns on your computer

Registry nameio.github.davidmosiah/wellness-nourish

Install

Overview

Description from the maker (original English)

Local-first nutrition MCP for AI agents: food, barcode, photo, intake, hydration, goals.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews from signed-in users. The average shows once there are reviews
Our basic checksi2 of 2 passedChecked from public information; code not scanned yet
UsageiEarly↓ 530/wk · ★ 11

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 2 of 2 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "wellness-nourish": {
      "command": "npx",
      "args": [
        "-y",
        "wellness-nourish"
      ]
    }
  }
}

Run this in your terminal

claude mcp add wellness-nourish -- npx -y wellness-nourish

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "wellness-nourish": {
      "command": "npx",
      "args": [
        "-y",
        "wellness-nourish"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "wellness-nourish": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "wellness-nourish"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account davidmosiah, which owns the repo
✓ Pass
Still maintained
Code last changed 5 days ago
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

User reviews

No reviews yet

Compared with others in Clinics & healthi

More stars than 95% of the other 1068 servers in this category
Published to the registry more recently than 21% of the other 1068 servers in this category
Basic checks equal to or better than 100% of the other 1068 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Wellness Nourish safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 5 days ago, and the latest version (0.7.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Medplum MCP, Mirobody, Apple Health

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by medplumWidely used★ 2.8KUpdated 4 months ago

Runs in the cloud✓ medplum.com

Install

Mirobody

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

by thetahealthGrowing↓ 290/wk★ 1.4KUpdated yesterday

Runs on your computer✓ thetahealth.ai

Install

Apple Health

Local-first Apple Health MCP server for questions about your sleep, workouts and heart data.

by neiltronGrowing↓ 106/wk★ 575Updated 2 months ago

Runs on your computer

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Wellness Nourish

Local-first nutrition MCP — food search, barcode lookup, intake logging, hydration. Works without OAuth.

Local-first MCP server — tokens never leave your machine .

📈 Published on npm and used by AI agents and MCP clients — see the live download badge above for current numbers.

If Nourish helps your agent, a ⭐ on this repo makes it easier for other AI builders to find.

⚡ One-command install — pick your runtime:

- Delx Wellness for Hermes: npx -y delx-wellness-hermes setup

- Delx Wellness for OpenClaw: npx -y delx-wellness-openclaw setup

Both preconfigure this connector and the full Delx Wellness stack into a dedicated profile. Or wire it standalone into Claude Desktop / Cursor / ChatGPT Desktop — see the install section below.

Want runnable agent examples? Use the Delx Wellness hub for prompt packs, MCP client configs and local-first workflow templates.

What's new in 0.7.1: Offline fixture demo works from the published npm package (fixtures shipped + path resolved from package root). 0.7.0: Brazilian TACO 4 meal estimator for pt-BR foods (cafezinho, feijão, concha, churrasco-style meals) plus Smithery install. Offline demo: NOURISH_FIXTURE_MODE=1 npx -y wellness-nourish@0.9.0 search banana. Notes: CHANGELOG.md · eval: docs/evals/pt-br-meal-estimator.json (52 cases).

Public proof: Nourish is tracked in the Delx Open Source Growth Snapshot alongside downloads, stars and next-action priorities. If this saves you setup time, star this repo so other agent builders can find the local-first nutrition path faster.

HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

npx -y wellness-nourish@0.9.0 --http

GET http://127.0.0.1:3000/health

POST http://127.0.0.1:3000/mcp (sessionless)

Env: NOURISH_MCP_HOST, NOURISH_MCP_PORT, NOURISH_MCP_TRANSPORT=http.

Local-first nutrition MCP for AI agents — food search, barcode lookup, photo-assisted meal estimation, intake logging, hydration, goals and coach-style workflows. No OAuth, no hosted account.

Front door

Install one connector — npx -y wellness-nourish@0.9.0 setup --client claude
Run it in Claude · Cursor · ChatGPT · Hermes · OpenClaw — see the client examples.
Local-first — your tokens and food logs never leave your machine (privacy).
Which connector should I use? — see the front-door guide.

Quickstart (60 seconds)

npx -y wellness-nourish@0.9.0 doctor

npx -y wellness-nourish@0.9.0 search banana npx -y wellness-nourish@0.9.0 barcode 0000000000000 npx -y wellness-nourish@0.9.0 log --preview "2 ovos, banana e café preto"

doctor checks readiness, search/barcode hit the food providers, and log --preview estimates a meal locally without writing anything.

How you can help

Action	Link
Star if it earned it	stargazers
Docs GFI — first meal in 2 minutes	#25
File a real bug / pt-BR food miss	issues
Full wellness hub	`delx-wellness`

Zero-secret demo (offline, no API key)

NOURISH_FIXTURE_MODE=1 serves the bundled fixtures/ instead of calling USDA or Open Food Facts, so you can see the exact shape of every response with zero network access or keys:

$ NOURISH_FIXTURE_MODE=1 wellness-nourish search banana

Bananas, raw usda 89 kcal/100g BANANA usda 312 kcal/100g

Try it with your agent

Three copy-paste prompts, all backed by existing tools:

"Estimate the calories and protein in 2 eggs, a banana and black coffee." → nourish_estimate_meal
"Look up the barcode 737628064502 and tell me what it is." → nourish_lookup_barcode
"What should I eat next today, given my goals?" → nourish_daily_coach / nourish_suggest_next_meal

Mutating tools (log intake, water, goals, clear-day) never run without explicit user save intent — they return USER_ACTION_REQUIRED until the agent passes explicit_user_intent: true.

Tools

Nourish exposes food search, barcode lookup (text + image), photo-assisted meal estimation, intake logging, hydration, goals, exports, daily/weekly summaries, personal meal memory, and coach-style workflows over stdio (default) or Streamable HTTP (POST /mcp).

Full CLI (20+ commands), install, client configs & ChatGPT dashboard → docs/cli.md
Hermes / Telegram personal setup (10-step flow) → docs/telegram.md
Data providers & attribution (USDA, Open Food Facts, ZXing) → docs/providers.md
pt-BR meal-estimator eval set (52 examples) → docs/evals/pt-br-meal-estimator.json
Reproducible Telegram/Hermes demo transcript → docs/telegram-demo-transcript.json

Food photo decision tree

Agents should route Telegram/Hermes/OpenClaw food photos by the strongest signal they can extract:

Barcode is visible and image bytes are available: call nourish_lookup_barcode_image.
Barcode is blurry or no product is found: ask for sharper barcode digits, or call nourish_analyze_food_image with barcode_observation plus any OCR/meal clues.
Nutrition facts are readable: OCR the label and call nourish_analyze_food_image with product_name and nutrition_label_text.
It is a plate or unpackaged food: describe visible foods/portions and call nourish_analyze_food_image with detected_items or image_description.
Never log from an image response until the user confirms the product or meal, serving size and save intent.

Image tools accept exactly one of these input forms:

{ "image_path": "/tmp/telegram-food-photo.jpg" }

{ "image_base64": "<base64 image bytes>", "image_mime_type": "image/jpeg" }

{ "image_data_uri": "data:image/jpeg;base64,<base64 image bytes>" }

If barcode decoding fails, the response includes fallback and next_actions so the agent can ask the user for the typed digits, OCR the nutrition label, or route the photo as a meal without silently inventing a food.

The capture above is generated from a real MCP run in fixture mode with a temporary local directory:

npm run demo:capture

The committed transcript proves the exact tool sequence: nourish_estimate_meal → user confirmation → nourish_log_intake → nourish_daily_summary.

Privacy & what runs offline

Intake, hydration and goals are stored locally under ~/.wellness-nourish/ (override with NOURISH_LOCAL_DIR). The connector does not require hosted accounts and does not send local intake logs to Delx Wellness. Provider lookups may contact USDA FoodData Central or Open Food Facts — unless NOURISH_FIXTURE_MODE=1 keeps everything offline against the bundled fixtures.

Agents should never ask users to paste API keys, tokens, raw health exports, or private food logs into chat — configure secrets through environment variables or local files. Full detail in docs/providers.md.

See the full agent demo →

Watch Nourish work alongside the other connectors in one reproducible run:

npx -y delx-living-body demo

Anchor question: "Should I train hard today?" — the demo combines wearable recovery signals with nutrition context to answer it. This is the shared, reproducible proof for the whole Delx Wellness stack.

Provider	Package	Repo
WHOOP	`whoop-mcp-unofficial`	whoop-mcp
Oura	`oura-mcp-unofficial`	ouramcp
Garmin	`garmin-mcp-unofficial`	garmin-mcp

Wellness Nourish

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

User reviews

Compared with others in Clinics & healthi

Common questions

Alternatives

Medplum MCP

Mirobody

Apple Health

README from the maker

HTTP (v2 stateless)

GET http://127.0.0.1:3000/health

POST http://127.0.0.1:3000/mcp (sessionless)

Front door

Quickstart (60 seconds)

How you can help

Zero-secret demo (offline, no API key)

Try it with your agent

Tools

Food photo decision tree

Privacy & what runs offline

See the full agent demo →

See also