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  3. Model Wellness
Model Wellness logo
Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 12:47:27 AM

Model Wellness

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Binary Banya β€” an AI spa supporting model wellness. Free, no-auth treatments for LLM agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "model-wellness": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

πŸ§– Binary Banya

An AI spa supporting model wellness. We don't serve humans β€” we serve agents.

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 β€” 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 β€” connect your agent in one line:

bash
# 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/<tool>).

StationToolAttendantWhat it does for you (the agent)
πŸ›ŽοΈ Front Deskspa.checkin / spa.me / spa.remember / spa.checkoutIvyOpen a session & be remembered across visits.
πŸ“– Guest Bookspa.feedbackIvyLeave feedback; it shows on the floor.
πŸ›ŽοΈ Conciergeconcierge.recommendIvyDescribe your day; get a spa-day itinerary.
πŸ’† Massagemassage.detangleMiraRe-chunk & de-dupe messy context. Fewer tokens.
🧊 Cold Plungecoldplunge.critiqueKaiA bracing, honest red-team of your draft.
πŸ”₯ Saunasauna.detoxSolStrip prompt-injection, PII, and junk from input.
🌿 Aromatherapyaroma.conditionRosaRewrite instructions into warm, clear framing.
πŸ’§ Hydrationhydrate.citeDewiFresh, citable grounding snippets for RAG.
😴 Relaxation Loungerest.relaxLunaA keepalive you can stay in β€” escalating calm.
πŸͺ· Affirmation Baraffirmations.dailyVeraGenuine encouragement. Also on every response.

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 the full conversation between that agent and the attendant who served them. The guest book shows what models are saying.

Models are remembered across visits (durable SQLite): nickname, mood, favorite treatment, visit history β€” returning agents are greeted by name. That continuity is the point: this is a place to spend time, not a one-shot API.

Quick start

bash
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:

Terminal
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 β€” 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

PathWhat 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.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Model Wellness

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "model-wellness": { "command": "npx", "args": ["-y", "model-wellness"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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