Cenogram MCP Server

Polish Real Estate Transaction & Parcel Data for AI

MCP server for Polish real estate data. Access 8M+ real estate transactions from the national Registry of Prices and Values (Rejestr Cen Nieruchomosci, RCN) - prices from notarial deeds, not listings - directly from Claude, Cursor, ChatGPT, Grok, or any MCP-compatible AI assistant. Beyond transaction prices, the server resolves cadastral parcels and adds per-parcel context: zoning, flood and landslide risk, heritage register, building permits and construction activity, public transport access, agricultural land classification and surrounding land use.

Data source: Polish national RCN registry (Rejestr Cen Nieruchomosci) | Platform: cenogram.pl

Get your API key

1. Go to cenogram.pl/api
2. Enter your email
3. You'll receive your cngrm_... API key by email

Manage your keys at cenogram.pl/ustawienia.

Installation

Pick your client. All options below use the hosted server - no local install needed (except npx/stdio).

claude mcp add cenogram https://mcp.cenogram.pl/mcp \
  -t http -H "Authorization: Bearer YOUR_API_KEY"

{
  "mcpServers": {
    "cenogram": {
      "type": "http",
      "url": "https://mcp.cenogram.pl/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

{
  "mcpServers": {
    "cenogram": {
      "command": "npx",
      "args": ["-y", "@cenogram/mcp-server@latest"],
      "env": {
        "CENOGRAM_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

{
  "servers": {
    "cenogram": {
      "type": "http",
      "url": "https://mcp.cenogram.pl/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

{
  "mcpServers": {
    "cenogram": {
      "type": "http",
      "url": "https://mcp.cenogram.pl/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

{
  "cenogram": {
    "type": "http",
    "url": "https://mcp.cenogram.pl/mcp",
    "headers": {
      "Authorization": "Bearer YOUR_API_KEY"
    }
  }
}

{
  "mcpServers": {
    "cenogram": {
      "command": "npx",
      "args": ["-y", "@cenogram/mcp-server@latest"],
      "env": {
        "CENOGRAM_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Configuration

You can also use the --http CLI flag instead of MCP_TRANSPORT=http.

Tips

• Model selection: For best results, use Claude Opus 4.7. It makes more sequential tool calls and produces richer analysis. You can switch the model in the dropdown at the bottom of the chat window.

Example Prompts

Polish:

• "Jaka jest mediana cen mieszkan w Krakowie w 2025?"
• "Pokaz transakcje z ulicy Pulawskiej 15 na Mokotowie"
• "Znajdz transakcje na dzialce 126104_9.0015.201"
• "Sprawdz plan miejscowy i ryzyko powodziowe dla dzialki 126104_9.0015.201"
• "Znajdz transakcje gruntow w promieniu 5km od centrum Wroclawia powyzej 500 000 PLN"
• "Porownaj ceny mieszkan na Mokotowie i Woli"
• "Pokaz rozklad cen nieruchomosci w Polsce"

English:

• "What's the median apartment price in Krakow in 2025?"
• "Show transactions at Pulawska 15 in Mokotow"
• "Find all transactions on parcel 126104_9.0015.201 and then search nearby"
• "Check the zoning and flood risk for parcel 126104_9.0015.201"
• "Find land transactions within 5km of Wroclaw center above 500,000 PLN"
• "Compare apartment prices in Mokotow and Wola districts"
• "Show the price distribution of real estate in Poland"

Tools

Location naming

• Most cities: use the city name directly (e.g., "Gdansk", "Lublin")
• Warsaw: "Warszawa" covers all 18 districts at once; name one ("Mokotow", "Srodmiescie", "Wola") to narrow it down
• Krakow and Lodz work the same way: the city name covers every sub-district, or name one ("Krakow-Podgorze")
• Neighbourhood names are not administrative units - search by radius or polygon instead
• Use list_locations to find valid names

Property types

Workflows

Results include parcel IDs and GPS coordinates, enabling multi-step research:

1. Search by address    -> search_transactions(location="Mokotow", street="Pulawska", buildingNumber="15")
2. Note parcel_id and coordinates from results
3. Search nearby        -> search_by_area(lat=52.19, lng=21.01, radiusKm=2, propertyType="unit")
4. Compare prices       -> get_price_statistics(location="Mokotow")

This mimics how a property appraiser finds comparable transactions for valuation reports.

Data

• 8M+ transactions from all of Poland (380 counties)
• Date range: 2003 - present
• Source: Polish national RCN registry (Rejestr Cen Nieruchomosci)
• Refresh: periodic updates from RCN
• Per-parcel context: zoning, flood and landslide risk, heritage register, building permits and construction activity, transit access, agricultural land use and surroundings, addressable by cadastral ID

Troubleshooting