propbar/mcp

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MCP server providing UK property research tools for AI assistants. Enables Claude, GPT, and other LLMs to search properties, analyse area safety, find nearby schools, explore demographics, and get...

概要

MCP server providing for AI assistants. Enables Claude, GPT, and other LLMs to search properties, analyse area safety, find nearby schools, explore demographics, and . Powered by Propbar's comprehensive UK property database covering . The get_comparables tool provides access to a with 50+ filterable fields - perfect for building automated valuation models: - : Sale history with dates and amounts, current asking prices - : For sale, SSTC, under offer, reserved, back on market dates - : Type, beds, baths, floor area, construction age - : Energy ratings (A-G), efficiency scores, potential ratings - : Freehold/leasehold, lease years remaining, service charges, ground rent - : Price per sqm, price per sqft, price changes over time - : Days on market, price reductions, portal links Help users make informed decisions with comprehensive area data: - - Is this area safe? How does it compare? - - What schools are nearby? Ofsted ratings? - - Who lives here? Age, tenure, household types?

README

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Propbar MCP Server

MCP server providing UK property research tools for AI assistants. Enables Claude, GPT, and other LLMs to search properties, analyse area safety, find nearby schools, explore demographics, and build automated valuation models (AVMs).

Use Cases

Build Your Own AVM

The get_comparables tool provides access to a comprehensive property search with 50+ filterable fields - perfect for building automated valuation models:

Transaction Data: Sale history with dates and amounts, current asking prices
Market Status: For sale, SSTC, under offer, reserved, back on market dates
Property Attributes: Type, beds, baths, floor area, construction age
EPC Data: Energy ratings (A-G), efficiency scores, potential ratings
Tenure & Charges: Freehold/leasehold, lease years remaining, service charges, ground rent
Pricing Metrics: Price per sqm, price per sqft, price changes over time
Listing Intelligence: Days on market, price reductions, portal links

Example AVM workflow:

1. get_comparables({ latitude, longitude, propertyType: "flat", bedrooms: 2 })
2. Filter by sale date (last 12 months) and distance
3. Adjust for differences (floor area, EPC rating, condition)
4. Calculate £/sqft and apply to subject property

Property Research for Buyers

Help users make informed decisions with comprehensive area data:

Crime & Safety - Is this area safe? How does it compare?
Schools - What schools are nearby? Ofsted ratings?
Demographics - Who lives here? Age, tenure, household types?
Market Analysis - What are similar properties selling for?

Available Tools

Tool	Description	Input
`search_areas`	Search UK areas by name or postcode	query
`search_properties`	Search UK properties by address	query
`get_area_details`	Get coordinates and area codes	areaCode or path
`get_crime_stats`	Crime statistics and safety rating	areaCode OR lat/lng
`get_schools`	Schools with Ofsted ratings	areaCode OR lat/lng
`get_demographics`	Census demographics	areaCode OR lat/lng
`get_property_basic`	Basic property details	propertyId
`get_property_full`	Full property with history	propertyId
`get_comparables`	Comparable properties for valuation	lat/lng + filters

Comparables Search Fields

The get_comparables tool queries an Elasticsearch index with 56 filterable fields:

Field	Description

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{
  "mcpServers": {
    "propbar": {
      "url": "https://mcp.propbar.co.uk"
    }
  }
}