Property Shared

<!-- mcp-name: io.github.paulieb89/property-shared -->

UK property data in one package. Pulls Land Registry sales, EPC certificates, Rightmove listings, rental yields, stamp duty calculations, planning portal links, and Companies House records.

Use it as a Python library, CLI, HTTP API, or MCP server for AI agents.

What You Get

Data Source	What It Returns
Land Registry PPD	Sold prices, dates, property types, area comps with median/percentiles
EPC Register	Energy ratings, floor area, construction age, heating costs
Rightmove	Current listings (sale + rent), prices, agents, listing details
Yield Analysis	Gross yield from PPD sales + Rightmove rentals combined
Stamp Duty	SDLT calculation with April 2025 bands, BTL surcharge, FTB relief
Block Analyzer	Groups flat sales by building to spot investor exits
Planning	Local council planning portal lookup (99 verified councils)
Companies House	Company search and lookup by name or number

Skills

Want structured property reports instead of raw data? Claude skills that chain these tools into investment summaries are available at bouch.dev/products.

Install

pip install property-shared

# or with uv
uv add property-shared

Extras: [mcp] for MCP server, [cli] for CLI, [api] for HTTP server, [dev] for tests.

pip install property-shared[mcp,cli]
# or
uv add property-shared --extra mcp --extra cli

Use as a Python Library

from property_core import PPDService, calculate_yield, calculate_stamp_duty

# Get comparable sales for a postcode
comps = PPDService().comps("SW1A 1AA", months=24, property_type="F")
print(f"Median flat price: {comps.median:,}")

# Calculate rental yield
import asyncio
result = asyncio.run(calculate_yield("NG1 1AA", property_type="F"))
print(f"Gross yield: {result.gross_yield_pct}%")

# Stamp duty
sdlt = calculate_stamp_duty(250000, additional_property=True)
print(f"SDLT: {sdlt.total_sdlt:,.0f} ({sdlt.effective_rate}%)")

All models are available at top level:

from property_core import (
    PPDTransaction, PPDCompsResponse, EPCData,
    RightmoveListing, RightmoveListingDetail,
    PropertyReport, YieldAnalysis, RentalAnalysis,
    BlockAnalysisResponse, CompanyRecord, StampDutyResult,
)

Interpretation helpers (core returns numbers, you decide how to label them):

from property_core import classify_yield, classify_data_quality, generate_insights

Use as CLI

pip install property-shared[cli]  # or: uv add property-shared --extra cli

# Comparable sales
property-cli ppd comps "SW1A 1AA" --months 24 --property-type F

# Rental yield
property-cli analysis yield "NG1 1AA" --property-type F

# Stamp duty
property-cli calc stamp-duty 300000

# Rightmove search (with sort)
property-cli rightmove search-url "NG1 1AA" --sort-by most_reduced

# Full property report
property-cli report generate "10 Downing Street, SW1A 2AA" --property-type F

Add --api-url http://localhost:8000 to any command to route through the HTTP API instead of calling core directly.

Use as MCP Server (AI Agents)

For Claude.ai, Claude Code, ChatGPT, or any MCP-compatible host.

pip install property-shared[mcp]  # or: uv add property-shared --extra mcp
property-mcp  # starts stdio transport

12 tools available: property_report, property_comps, ppd_transactions, property_yield, rental_analysis, property_epc, rightmove_search, rightmove_listing, property_blocks, stamp_duty, planning_search, company_search.

Remote server deployed at https://property-shared.fly.dev/mcp (Streamable HTTP).

See mcp_server/README.md for connection setup and tool details.

Use as HTTP API

pip install property-shared[api]  # or: uv add property-shared --extra api
property-api  # starts on port 8000

Interactive docs at http://localhost:8000/docs.

Key endpoints:

• GET /v1/ppd/comps?postcode=SW1A+1AA&property_type=F&enrich_epc=true
• GET /v1/analysis/yield?postcode=NG1+1AA&property_type=F
• GET /v1/analysis/rental?postcode=NG1+1AA&purchase_price=200000
• GET /v1/rightmove/search-url?postcode=NG1+1AA&sort_by=newest
• GET /v1/calculators/stamp-duty?price=300000&additional_property=true
• POST /v1/property/report with { "address": "10 Downing Street, SW1A 2AA" }

Full endpoint list in USER_GUIDE.md.

Environment Variables

Copy .env.example to .env. Key variables:

Variable	Required For	Description
EPC_API_EMAIL	EPC lookups	Free key from EPC Register
EPC_API_KEY	EPC lookups	Paired with email above
COMPANIES_HOUSE_API_KEY	Company search	Free key from Companies House
RIGHTMOVE_DELAY_SECONDS	No (default 0.6s)	Rate limit delay for Rightmove scraping
OPENAI_API_KEY	Planning scraper	Vision-guided planning portal scraper

Land Registry PPD and Rightmove work without credentials.

Development

# Install with dev extras
uv sync --extra dev

# Run API with reload
uv run uvicorn app.main:app --reload

# Run tests (mocked, no network)
uv run --extra dev pytest -v

# Run live integration tests (real network calls)
RUN_LIVE_TESTS=1 uv run --extra dev pytest -v

Architecture

Three-layer separation — core stays framework-agnostic:

property_core/     Pure Python library (all business logic)
app/               FastAPI wrapper (thin HTTP layer)
property_cli/      Typer CLI (thin CLI layer)
mcp_server/        FastMCP wrapper (thin MCP layer for AI hosts)

All three consumers import directly from property_core. No adapter layers.

Deploy (Fly.io)

fly secrets set EPC_API_EMAIL=... EPC_API_KEY=...
fly deploy

Deployed at https://property-shared.fly.dev with API docs at /docs and MCP endpoint at /mcp.