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"""FastMCP stdio server for FINN real estate analysis and Eiendom.no enrichment."""
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import json
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import logging
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from mcp.server.fastmcp import FastMCP
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from .analysis import analyze_search
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from .eiendom_no import (
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build_unit_vector,
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decode_unit_vector,
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get_similar_units,
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get_unit,
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search_unit_from_finn_url,
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)
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from .service import get_or_fetch_ad, get_or_fetch_eiendom_unit
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logger = logging.getLogger(__name__)
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mcp = FastMCP("finn_eiendom_mcp")
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@mcp.tool(
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description=(
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"Analyze a FINN.no real estate search URL. Scrapes listing cards,"
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" fetches details, enriches with Eiendom.no data, scores, and ranks."
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)
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)
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async def finn_analyze_search(
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search_url: str,
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max_pages: int = 3,
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detail_limit: int = 20,
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include_details: bool = True,
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include_eiendom_no: bool = True,
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) -> str:
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"""Analyze a FINN search URL and return ranked listing results."""
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try:
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result = await analyze_search(
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search_url,
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max_pages=max_pages,
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fetch_details=include_details,
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detail_limit=detail_limit,
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include_eiendom_no=include_eiendom_no,
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)
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return json.dumps(result)
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except Exception as e:
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logger.error(f"Error analyzing search: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description=(
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"Fetch full detail for a FINN listing by finnkode."
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" Checks cache first; use force_refresh=True to bypass."
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)
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)
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async def finn_get_ad(finnkode: str, force_refresh: bool = False) -> str:
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"""Fetch FINN ad details by finnkode."""
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try:
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ad = await get_or_fetch_ad(finnkode, force_refresh=force_refresh)
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return ad.model_dump_json()
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except Exception as e:
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logger.error(f"Error fetching ad {finnkode}: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description="Resolve an Eiendom.no unit_code from a FINN listing URL. "
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"Returns unit_code, address, lat, lng or an error if not found."
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)
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async def finn_resolve_eiendom_unit(finn_url: str) -> str:
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"""Resolve Eiendom.no unit from FINN URL."""
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try:
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unit = await search_unit_from_finn_url(finn_url)
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if unit is None:
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return json.dumps(
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{
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"error": True,
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"message": "Eiendom.no unit could not be resolved from FINN URL",
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}
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)
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return json.dumps(
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{
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"unit_code": unit.unit_code,
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"address": unit.address,
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"lat": unit.lat,
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"lng": unit.lng,
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}
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)
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except Exception as e:
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logger.error(f"Error resolving unit from {finn_url}: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description="Fetch full Eiendom.no unit data by unit_code. Checks SQLite cache (24h TTL)."
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)
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async def finn_get_eiendom_unit(unit_code: str, force_refresh: bool = False) -> str:
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"""Fetch Eiendom.no unit details by unit_code."""
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try:
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unit = await get_or_fetch_eiendom_unit(unit_code, force_refresh=force_refresh)
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if unit is None:
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return json.dumps({"error": True, "message": "Eiendom.no unit not found"})
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return unit.model_dump_json()
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except Exception as e:
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logger.error(f"Error fetching unit {unit_code}: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description="Fetch comparable recently-sold or for-sale units from Eiendom.no using a "
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"base64-encoded unit vector. Returns list of similar units with sale prices."
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)
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async def finn_get_similar_units(unit_vector: str, listing_status: str = "RECENTLY_SOLD") -> str:
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"""Fetch similar units from Eiendom.no."""
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try:
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units = await get_similar_units(unit_vector, listing_status)
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return json.dumps([unit.model_dump() for unit in units])
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except Exception as e:
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logger.error(f"Error fetching similar units: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description="Build a base64-encoded unit vector for a given Eiendom.no unit_code. "
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"The vector is used as input to finn_get_similar_units."
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)
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async def finn_build_unit_vector(unit_code: str) -> str:
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"""Build unit vector for Eiendom.no unit."""
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try:
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unit = await get_unit(unit_code)
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if unit is None:
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return json.dumps({"error": True, "message": "Eiendom.no unit not found"})
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return json.dumps({"unit_code": unit.unit_code, "unit_vector": build_unit_vector(unit)})
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except Exception as e:
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logger.error(f"Error building unit vector for {unit_code}: {e}")
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return json.dumps({"error": True, "message": str(e)})
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@mcp.tool(
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description="Decode a base64 unit vector into human-readable JSON (lat, lon, property type, "
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"floor, rooms, construction year, area, price)."
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)
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def finn_decode_unit_vector(unit_vector: str) -> str:
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"""Decode unit vector to readable format."""
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try:
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result = decode_unit_vector(unit_vector)
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return json.dumps(result)
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except Exception as e:
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logger.error(f"Error decoding unit vector: {e}")
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return json.dumps({"error": True, "message": str(e)})
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def main() -> None:
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"""Run the FastMCP stdio server."""
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mcp.run(transport="stdio")
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if __name__ == "__main__":
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main()
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