Keep /products/suggest lean by exposing product UUIDs and fetching INCI, safety rules, actives, and usage notes on demand through Gemini function tools. Add conservative fallback behavior for tool roundtrip limits and expand helper tests to cover tool wiring and payload handlers. |
||
|---|---|---|
| backend | ||
| docs | ||
| frontend | ||
| nginx | ||
| systemd | ||
| .gitignore | ||
| AGENTS.md | ||
| deploy.sh | ||
| README.md | ||
innercontext
Personal health and skincare data hub. Collects structured data (products, routines, lab results, medications, skin snapshots) and exposes it via a REST API, MCP, and a web UI to an LLM agent.
Repository layout
backend/ Python backend — FastAPI REST API + MCP server + SQLModel models
frontend/ SvelteKit web UI (Svelte 5, TypeScript, Tailwind CSS v4)
docs/ Deployment guides
nginx/ nginx config for production
systemd/ systemd service units
Backend quick start
Requirements: Python 3.12+, PostgreSQL, uv
cd backend
# Install dependencies
uv sync
# Set database URL (defaults to postgresql+psycopg://localhost/innercontext)
export DATABASE_URL=postgresql+psycopg://user:password@localhost/innercontext
# Start the API server (creates tables on first run)
uv run uvicorn main:app --reload
API docs available at http://localhost:8000/docs.
Frontend quick start
Requirements: Node.js 24 LTS+, pnpm
cd frontend
# Install dependencies
pnpm install
# Start dev server (proxies API calls to localhost:8000)
pnpm dev
UI available at http://localhost:5173.
API overview
| Prefix | Resource |
|---|---|
/products |
Skincare / medication products + inventory |
/inventory |
Individual inventory entries |
/health/medications |
Medication entries and usage history |
/health/lab-results |
Lab test results |
/routines |
AM/PM skincare routines and steps |
/routines/grooming-schedule |
Weekly grooming schedule |
/skincare |
Weekly skin condition snapshots |
/health-check |
Liveness probe |
MCP server
innercontext exposes 14 tools via FastMCP at the StreamableHTTP endpoint http://localhost:8000/mcp/mcp.
Tools include: get_products, get_product, get_open_inventory, get_recent_routines, get_latest_skin_snapshot, get_skin_history, get_medications, get_expiring_inventory, get_grooming_schedule, get_recent_lab_results, and more.
Connect an MCP-compatible LLM agent by pointing it at http://<host>/mcp/mcp.
Frontend routes
| Route | Description |
|---|---|
/ |
Dashboard |
/products |
Product list |
/products/new |
Add product |
/products/[id] |
Product detail / edit |
/routines |
Routine list |
/routines/new |
Create routine |
/routines/[id] |
Routine detail |
/health/medications |
Medications |
/health/lab-results |
Lab results |
/skin |
Skin condition snapshots |
Development
cd backend
# Lint
uv run ruff check .
# Format
uv run black .
uv run isort .
# Tests
uv run pytest
Stack
- Backend: Python 3.12, FastAPI, Uvicorn, SQLModel 0.0.37 + SQLAlchemy, Pydantic v2, PostgreSQL (psycopg3)
- MCP: FastMCP 3.0.2 (StreamableHTTP transport)
- Frontend: SvelteKit 2, Svelte 5 (Runes), TypeScript, Tailwind CSS v4, shadcn-svelte
Deployment
See docs/DEPLOYMENT.md for a step-by-step guide for a Proxmox LXC setup (Debian 13, nginx, systemd services).