Local-first nutrition MCP for AI agents: food, barcode, photo, intake, hydration, goals.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-davidmosiah-wellness-nourish": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Local-first nutrition MCP — food search, barcode lookup, intake logging, hydration. Works without OAuth. Local-first MCP server — tokens never leave your machine.
No automated test available for this server. Check the GitHub README for setup instructions.
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📈 Active in the wild: ~500 npm downloads/day across AI agents and MCP clients.
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 setupBoth 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.
Wellness Nourish is a local MCP server for nutrition search, barcode lookup, barcode photo lookup, photo-assisted meal estimation, intake logging, hydration, goals, exports, daily or weekly summaries, personal meal memory, and coach-style nutrition workflows. It runs over stdio by default for MCP clients and can also run a Streamable HTTP endpoint at POST /mcp.
If this nutrition layer helps your agent workflow, please star the repo. Stars make the project easier for other AI builders to discover and help Delx keep shipping local-first wellness infrastructure.
npx -y wellness-nourish doctor
npx -y wellness-nourish search banana
npx -y wellness-nourish log --preview "2 ovos, banana e café pr
... [View full README on GitHub](https://github.com/davidmosiah/wellness-nourish#readme)