GUTHMANN® Berlin Real Estate
by guthmann.estate · estate.guthmann/mcp
Berlin real estate for AI agents: granular market data and property search, free, by GUTHMANN®.
- Category
- Maps, travel and weather
- Connection
- Remote (HTTP)
- Tools
- 37 reported
- Status
- Online
Connect it to your AI
Claude Code
claude mcp add --transport http mcp https://mcp.guthmann.estate/mcpClaude, ChatGPT, Cursor and other apps
Add it as a custom connector with this URL (Streamable HTTP):
https://mcp.guthmann.estate/mcpCursor, VS Code and other apps (mcp.json)
{
"mcpServers": {
"mcp": {
"url": "https://mcp.guthmann.estate/mcp"
}
}
}Tools it offers
37 tools, as the server itself reported during our check on Oct 31, 2026.
berlin_boroughsReturns all 12 Berlin boroughs (Bezirke) with IDs and names. Key response fields: array of { bezirk_id, bezirk_name } - bezirk_id: 2 digits ("01" to "12") - bezirk_name: e.g. "Mitte", "Friedrichshain-Kreuzberg", "Pankow"berlin_borough_detailsReturns details for one Berlin borough (Bezirk) by ID, optionally with all its districts. Parameters: - bezirk_id (required): 2-digit ID ("01" to "12") - ortsteile: "true" to include all districts of the borough Key respberlin_districtsReturns all 97 Berlin districts (Ortsteile), optionally filtered by borough. Parameters: - bezirk_id (optional): filter to the districts of one borough - bezirke: "true" to include borough references Key response fields:berlin_district_detailsReturns details for one Berlin district (Ortsteil) by ID, optionally with its neighborhoods. Parameters: - ortsteil_id (required): 4-digit ID (e.g. "0301") - planungsraeume: "true" to include all neighborhoods of the disberlin_neighborhoodsReturns all 542 Berlin neighborhoods (LOR Planungsräume), optionally filtered by borough or district. Parameters: - bezirk_id (optional): filter by borough - ortsteil_id (optional): filter by district - bezirke/ortsteileberlin_neighborhood_searchSearches Berlin neighborhoods (LOR Planungsräume) by name. Parameters: - q (required): search term (min. 3 characters) - limit: max. results (default: 25) - bezirk_id/ortsteil_id: optional filters to narrow the search Exberlin_neighborhood_detailsReturns details for one Berlin neighborhood (LOR Planungsraum) by ID, optionally with its blocks. Parameters: - planungsraum_id (required): 8-digit ID - bloecke: "true" to include all blocks of the neighborhood Key respoberlin_conservation_areasBerlin social conservation areas (Milieuschutzgebiete, §172 BauGB). 124 areas in 6 categories with polygon geometry. Parameters: - kategorie_id: filter by category ("erhaltungsgebiet" | "erweiterung" | "aufstellungsbeschberlin_conservation_area_detailsReturns a single Berlin social conservation area (Milieuschutzgebiet) by ID. For main areas, associated extensions are embedded automatically. Parameters: - id (required): 12-character hex string (deterministic area ID)market_berlin_apartmentsBerlin apartment market data (listings + transactions). Sources: listing/offer data (IMV) + transaction data from the Berlin committee of valuation experts (GAA, Gutachterausschuss). Parameters: - zeitraum: "jahr" (defaumarket_berlin_apartment_buildingsBerlin apartment building market (rental buildings, "Zinshäuser") - transaction data. Source: transaction data from the Berlin committee of valuation experts (GAA, Gutachterausschuss). Parameters: - rbs: "stadt" | "bezirmarket_germany_residentialNational market data for the German residential real estate market. Sources: DESTATIS, vdp, HYPOPORT. Includes price AND transaction indices for various market segments. Parameters: - zeitraum: "jahr" (default) | "quartamarket_germany_apartment_buildingsNational price index data for the German apartment building market. Source: vdp. Quarterly data for apartment buildings (rental buildings, "Mehrfamilienhäuser") across Germany. Time filters: - start/end: flexible date valistingsThe GUTHMANN listings: the broker's active inventory in Berlin (for sale: owner-occupier apartments, investment apartments, apartment buildings, commercial). Every card carries its exposé URL on guthmann.estate. Addresselisting_detailsOne GUTHMANN listing in detail: prices and running costs, areas, amenities, energy certificate, exposé texts, images, contact and the exposé URL on guthmann.estate. When the address is not released, street/house number amacro_ecb_policy_ratesECB key interest rates. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - zinssatz_hauptrefinanziermacro_mortgage_lendingMortgage rates for residential housing loans. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - zinmacro_bund_yieldsYields on German government bonds (Bunds). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - renditmacro_labor_unemploymentUnemployment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - arbeitslose: registered unemployed (seasonally adjusted) - armacro_labor_employmentEmployment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - erwerbstaetige: persons in employment (seasonally adjusted) - smacro_labor_short_time_workShort-time work (Kurzarbeit) statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - kurzarbeiter: short-time workers (seasonallymacro_inflation_hicpInflation data (HICP - harmonized index of consumer prices). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - hvpi_gesamt: overall HICPmacro_construction_pricesConstruction price index for residential buildings. Source: Bundesbank. Quarterly data (2015=100). Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - preisinmacro_gdpGDP data (gross domestic product). Source: Bundesbank. Quarterly data, price-adjusted, seasonally and calendar-adjusted (2015=100). Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key responsefield_metadataReturns field definitions for interpreting API responses. Use this to understand fields, units, data types, and sources. Parameters: - domain (optional): specific domain for detailed field information - locale: "de" (defsocio_berlin_construction_activityConstruction activity data for Berlin. Source: Amt für Statistik Berlin-Brandenburg. Shows net changes: building balance, dwelling balance, living-space balance. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "socio_berlin_migration_externalExternal migration for Berlin: migration across the city boundary, annual, by nationality. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (socio_berlin_migration_matrixMigration matrix for Berlin: migration flows between areas (moves within Berlin, annual). The RBS level applies to both origin and destination. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (cisocio_berlin_populationPopulation stock for Berlin (headline figures) at the Neighborhood level (LOR Planungsraum), semi-annual. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil"socio_berlin_age_groupsBerlin population by 8 age groups, additionally by population group. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsrsocio_berlin_originBerlin population with a migration background, by area of origin. Source: Amt für Statistik Berlin-Brandenburg. ⚠️ herkunft_ebene: "eu_gesamt" is the aggregate over the individual "eu_land" entries. The default (drittlansocio_berlin_census_dwellingsZensus 2022 dwelling stock data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of dwellings. With a category: - raeume: breakdown by number of rooms - flaeche: breakdown by flosocio_berlin_census_vacancyZensus 2022 dwelling vacancy data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Breakdown by vacancy category (duration or reason). Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortssocio_berlin_census_rentsZensus 2022 rent data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: weighted average across all dwellings (net cold rent, net cold rent per m², count). With category "flaeche": rent per m²socio_berlin_census_buildingsZensus 2022 building data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of buildings. With a category: - bauweise: construction type (detached, row house, semi-detached) - eigsocio_berlin_census_householdsZensus 2022 household data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of households. With a category: - groesse: household size (1 person, 2 persons, etc.) - wohndauer: lensearchSemantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page
Questions
What is the GUTHMANN® Berlin Real Estate MCP server?
Berlin real estate for AI agents: granular market data and property search, free, by GUTHMANN®. It is made by guthmann.estate and listed in the official MCP Registry as estate.guthmann/mcp. MCP (Model Context Protocol) is the open standard that lets AI apps like Claude, ChatGPT and Cursor use outside tools.
How do I add GUTHMANN® Berlin Real Estate to Claude?
In the Claude app or claude.ai, open Settings, then Connectors, choose "Add custom connector" and paste https://mcp.guthmann.estate/mcp. In Claude Code, run: claude mcp add --transport http mcp https://mcp.guthmann.estate/mcp
How do I add GUTHMANN® Berlin Real Estate to ChatGPT?
ChatGPT can use remote MCP servers as connectors. In ChatGPT settings, under Apps and Connectors, turn on developer mode if asked, create a new connector and paste https://mcp.guthmann.estate/mcp.
How do I add GUTHMANN® Berlin Real Estate to Cursor?
Open Cursor settings, go to MCP, choose "Add new MCP server" (or edit ~/.cursor/mcp.json) and add: { "mcpServers": { "mcp": { "url": "https://mcp.guthmann.estate/mcp" } } }
Does GUTHMANN® Berlin Real Estate work right now?
Yes. It responded when we last checked on 31 Oct 2026. We check remote MCP servers every day.
What can GUTHMANN® Berlin Real Estate do?
It gives your AI 37 tools, including berlin_boroughs, berlin_borough_details, berlin_districts, berlin_district_details, berlin_neighborhoods. The full list is on this page.
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