# Guthmann Market Intelligence MCP server

Source: https://glimind.com/server/mcp-registry%2Festate.guthmann%2Fmarket-intelligence
Registry id: `mcp-registry/estate.guthmann/market-intelligence`
Status: live (checked 2026-10-26T22:11:03.268Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 4899
- Outages (90 days): 0

## Install

```json
{
  "mcpServers": {
    "guthmann-market-intelligence-mcp-server": {
      "type": "http",
      "url": "https://mcp.guthmann.estate/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http guthmann-market-intelligence-mcp-server https://mcp.guthmann.estate/mcp
```

## Tools (37)

- `berlin_borough_details`: Returns details for one Berlin borough (Bezirk) by ID, optionally with all its districts. Parameters: - bezirk_id (required): 2-digit ID ("01" to "12") - ortste
- `berlin_boroughs`: Returns 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") - bez
- `berlin_conservation_area_details`: Returns a single Berlin social conservation area (Milieuschutzgebiet) by ID. For main areas, associated extensions are embedded automatically. Parameters: - id 
- `berlin_conservation_areas`: Berlin social conservation areas (Milieuschutzgebiete, §172 BauGB). 124 areas in 6 categories with polygon geometry. Parameters: - kategorie_id: filter by categ
- `berlin_district_details`: Returns details for one Berlin district (Ortsteil) by ID, optionally with its neighborhoods. Parameters: - ortsteil_id (required): 4-digit ID (e.g. "0301") - pl
- `berlin_districts`: Returns all 97 Berlin districts (Ortsteile), optionally filtered by borough. Parameters: - bezirk_id (optional): filter to the districts of one borough - bezirk
- `berlin_neighborhood_details`: Returns details for one Berlin neighborhood (LOR Planungsraum) by ID, optionally with its blocks. Parameters: - planungsraum_id (required): 8-digit ID - bloecke
- `berlin_neighborhood_search`: Searches Berlin neighborhoods (LOR Planungsräume) by name. Parameters: - q (required): search term (min. 3 characters) - limit: max. results (default: 25) - bez
- `berlin_neighborhoods`: Returns all 542 Berlin neighborhoods (LOR Planungsräume), optionally filtered by borough or district. Parameters: - bezirk_id (optional): filter by borough - or
- `field_metadata`: Returns field definitions for interpreting API responses. Use this to understand fields, units, data types, and sources. Parameters: - domain (optional): specif
- `listing_details`: One GUTHMANN listing in detail: prices and running costs, areas, amenities, energy certificate, exposé texts, images, contact and the exposé URL on guthmann.est
- `listings`: The GUTHMANN listings: the broker's active inventory in Berlin (for sale: owner-occupier apartments, investment apartments, apartment buildings, commercial). Ev
- `macro_bund_yields`: Yields on German government bonds (Bunds). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, incl
- `macro_construction_prices`: Construction price index for residential buildings. Source: Bundesbank. Quarterly data (2015=100). Parameters: - start/end: YYYY-MM-DD - recent: number of most 
- `macro_ecb_policy_rates`: ECB key interest rates. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key
- `macro_gdp`: GDP data (gross domestic product). Source: Bundesbank. Quarterly data, price-adjusted, seasonally and calendar-adjusted (2015=100). Parameters: - start/end: YYY
- `macro_inflation_hicp`: Inflation data (HICP - harmonized index of consumer prices). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key
- `macro_labor_employment`: Employment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - erw
- `macro_labor_short_time_work`: Short-time work (Kurzarbeit) statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (Ge
- `macro_labor_unemployment`: Unemployment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - a
- `macro_mortgage_lending`: Mortgage rates for residential housing loans. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, i
- `market_berlin_apartment_buildings`: Berlin apartment building market (rental buildings, "Zinshäuser") - transaction data. Source: transaction data from the Berlin committee of valuation experts (G
- `market_berlin_apartments`: Berlin apartment market data (listings + transactions). Sources: listing/offer data (IMV) + transaction data from the Berlin committee of valuation experts (GAA
- `market_germany_apartment_buildings`: National price index data for the German apartment building market. Source: vdp. Quarterly data for apartment buildings (rental buildings, "Mehrfamilienhäuser")
- `market_germany_residential`: National market data for the German residential real estate market. Sources: DESTATIS, vdp, HYPOPORT. Includes price AND transaction indices for various market 
- `search`: Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retr
- `socio_berlin_age_groups`: Berlin population by 8 age groups, additionally by population group. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" 
- `socio_berlin_census_buildings`: Zensus 2022 building data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of buildings. With a category: - bauweise: 
- `socio_berlin_census_dwellings`: Zensus 2022 dwelling stock data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of dwellings. With a category: - raeu
- `socio_berlin_census_households`: Zensus 2022 household data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of households. With a category: - groesse:
- `socio_berlin_census_rents`: Zensus 2022 rent data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: weighted average across all dwellings (net cold rent, net co
- `socio_berlin_census_vacancy`: Zensus 2022 dwelling vacancy data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Breakdown by vacancy category (duration or reason). Parameters: - rb
- `socio_berlin_construction_activity`: Construction activity data for Berlin. Source: Amt für Statistik Berlin-Brandenburg. Shows net changes: building balance, dwelling balance, living-space balance
- `socio_berlin_migration_external`: External migration for Berlin: migration across the city boundary, annual, by nationality. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "sta
- `socio_berlin_migration_matrix`: Migration matrix for Berlin: migration flows between areas (moves within Berlin, annual). The RBS level applies to both origin and destination. Source: Amt für 
- `socio_berlin_origin`: Berlin population with a migration background, by area of origin. Source: Amt für Statistik Berlin-Brandenburg. ⚠️ herkunft_ebene: "eu_gesamt" is the aggregate 
- `socio_berlin_population`: Population stock for Berlin (headline figures) at the Neighborhood level (LOR Planungsraum), semi-annual. Source: Amt für Statistik Berlin-Brandenburg. Paramete

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