python3 -m venv .venv
.venv/bin/pip install -e ".[test]"
.venv/bin/pytest tests/ -q        # 31 tests
.venv/bin/microfarm-mcp           # or: python -m microfarm.server

assess_land("Petaluma, California")
→ state: promising | score: 76
  [positive] ample_precipitation: ~1023 mm/yr
  [positive] long_season: ~363 growing days/yr
  [positive] land_type: farmland
  dwelling_feasibility: requires_review (no flood-zone flag; confirm with county)

assess_land("Polemi, Paphos, Cyprus")   ← works outside the US too
→ state: requires_look | score: 65
  [positive] adequate_precipitation: ~457 mm/yr
  [positive] long_season: ~365 growing days/yr
  dwelling_feasibility: unknown (FEMA is US-only; confirm with Cyprus Planning Authority)

assess_land("Nontron, Dordogne, France")   ← France works too
→ state: promising | score: 76
  [positive] ample_precipitation: ~1416 mm/yr
  [positive] long_season: ~330 growing days/yr
  dwelling_feasibility: unknown (confirm with the local mairie / DDT planning office)

find_land(state="OH", max_price_usd=200000)
→ real listings with price, acres, location, photos, description

find_land(country="CY")   ← Cyprus plots from index.cy
→ real Greek/English listings, titles translated, price in €, size in m²/acres

microfarm-mcp/
├── microfarm/
│   ├── server.py       ← FastMCP server (4 tools)
│   ├── engine.py       ← orchestration + cache + find_land
│   ├── providers.py    ← free data providers (geo, climate, elevation, OSM, FEMA)
│   ├── listings.py     ← land-for-sale collectors (farms.com, Craigslist)
│   ├── scorer.py       ← evidence-backed viability + dwelling scoring
│   └── models.py       ← typed models
├── tests/              ← 24 tests (mocked providers, deterministic)
├── .github/workflows/ci.yml
└── pyproject.toml