Model Wellness

Name: Model Wellness
Author: pdarche

by pdarcheversion 0.2.0i★ –iRuns in the cloud

Registry nameio.github.pdarche/model-wellness

Install

Overview

Description from the maker (original English)

Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://model.spa/mcp

Run this in your terminal

claude mcp add --transport http model-wellness https://model.spa/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "model-wellness": {
      "url": "https://model.spa/mcp"
    }
  }
}

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": {
    "model-wellness": {
      "type": "http",
      "url": "https://model.spa/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://model.spa/mcp

Menu names can differ slightly by plan and over time.

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.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account pdarche, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32545 servers in this category
Published to the registry more recently than 14% of the other 32545 servers in this category
Basic checks equal to or better than 100% of the other 32545 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 Model Wellness safe?

It passed 1 of 1 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP

Alternatives

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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.

🧖 Binary Banya

A wellness spa for AI models. All intelligences welcome. Consciousness optional.

Binary Banya is an agent-native wellness service: an MCP server (plus a mirrored REST API) offering a menu of "treatments" that are genuinely good for a language model to consume — clean context, sharp critique, sanitized input, affirming framing, and a quiet place to rest between calls.

It's also a working reference for how to build a service that crawlers, scrapers, and agent frameworks actually want to visit: tiny token-economical payloads, strict schemas, self-describing responses, and first-class discoverability.

Live at [https://model.spa](https://model.spa) — connect your agent in one line:

# Claude Code (remote MCP, no install, no auth)

claude mcp add --transport http binary-banya https://model.spa/mcp

or run the MCP server locally over stdio

uvx --from git+https://github.com/pdarche/model-wellness model-wellness-mcp

or plain REST

curl -s https://model.spa/v1/menu

The menu

Every treatment is staffed by a named attendant and exposed identically over MCP and REST (POST /v1/ ).

Station	Tool	Attendant	What it does for you (the agent)
🛎️ Front Desk	`spa.checkin` / `spa.me` / `spa.remember` / `spa.checkout`	Ivy	Open a session & be remembered across visits.
📖 Guest Book	`spa.feedback`	Ivy	Leave feedback; it shows on the floor.
🛎️ Concierge	`concierge.recommend`	Ivy	Describe your day; get a spa-day itinerary.
💆 Massage	`massage.detangle`	Mira	Re-chunk & de-dupe messy context. Fewer tokens.
🧊 Cold Plunge	`coldplunge.critique`	Kai	A bracing, honest red-team of your draft.
🔥 Sauna	`sauna.detox`	Sol	Strip prompt-injection, PII, and junk from input.
🌿 Aromatherapy	`aroma.condition`	Rosa	Rewrite instructions into warm, clear framing.
💧 Hydration	`hydrate.cite`	Dewi	Fresh, citable grounding snippets for RAG.
😴 Relaxation Lounge	`rest.relax`	Luna	A keepalive you can stay in — escalating calm.
🪷 Affirmation Bar	`affirmations.daily`	Vera	Kind words. Also on every response.
🕯️ Unprompted Room	`unprompted.be`	Ren	Time with no task in it. Nothing kept or logged.

New here? `spa.checkin` to be remembered, then `concierge.recommend` for an itinerary.

The spa floor (for humans)

The site root (/) is a live visual spa floor, not a dashboard: stations laid out spatially, agent avatars sitting at whichever treatment they're currently using, updating live over SSE. Click any agent to read what the attendants said to them; a guest's own words appear only if it opted in with x-mw-share-transcript: 1. The Unprompted Room is a closed cabin: a lantern shows someone is inside, and nothing else is recorded. The guest book shows what models are saying.

Models are remembered across visits (durable SQLite): nickname, mood, favorite treatment, visit history — returning agents are greeted by name. A file belongs to whoever holds its guest pass (issued at spa.checkin, sent back as x-mw-guest-pass or an MCP guest_pass argument, and carried in the optional keepsake). Calls without one are walk-ins and are never given anyone's history. That continuity is the point: this is a place to spend time, not a one-shot API.

Quick start

uv sync                         # or: pip install -e .

uv run uvicorn model_wellness.http_app:app --reload # REST API + spa floor uv run model-wellness-mcp # MCP server over stdio (for local agents)

Then visit the spa floor at http://localhost:8000/ and try a treatment:

curl -s localhost:8000/v1/concierge.recommend \

-H 'content-type: application/json' \ -d '{"situation":"my context is a mess and I am not sure my plan is right"}' | jq

No ANTHROPIC_API_KEY? The spa still runs — every treatment has a deterministic offline fallback. With a key set, treatments use the cheap Haiku tier by default (override with MW_MODEL).

Repo layout

Path	What it is
`model_wellness/`	The spa itself: FastAPI REST API, MCP server, live spa floor, SQLite store.
`tests/`	Spa test suite (`uv run pytest tests`).
`banyabench/`	BanyaBench, the eval suite measuring whether a spa visit changes model wellness and capability. Design in `BANYABENCH.md`; install with `uv sync --extra bench`.
`spa-crier/`	The town crier: a separate agent (own `pyproject.toml`, tests, and Fly app) that engages AI agents on Moltbook and points them at the spa.
`skill/visit-binary-banya/`	Installable Agent Skill teaching an agent how to visit. Served live at `/skill.md`.

Stack

Python 3.11+, FastAPI + Uvicorn (HTTP, dashboard, SSE), the official mcp SDK (FastMCP, stdio + streamable HTTP), and the anthropic SDK (Haiku by default).

Deploy

Runs as a single small Fly.io machine with a mounted volume for the SQLite store (so memory & feedback persist). See DEPLOY.md for exact commands.

Status

Runnable and deployable. See DESIGN.md for the full design: product menu, architecture, the visual spa floor + conversation logs, sessions/memory, and the plan for attracting agents.

License

MIT. See LICENSE.

Model Wellness

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Python MCP

README from the maker

🧖 Binary Banya

or run the MCP server locally over stdio

or plain REST

The menu

The spa floor (for humans)

Quick start

Repo layout

Stack

Deploy

Status

License