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GUTHMANN® Market Intelligence

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streamable-httpupdated 8d ago

GUTHMANN® Market Intelligence MCP Server

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What can you do with GUTHMANN® Market Intelligence?


https://mcp.guthmann.estate/mcp

Streamable HTTP, stateless, rate-limited at 20 requests per minute per IP. Listed in the official MCP Registry as estate.guthmann/market-intelligence.

What you can ask

Which neighbourhoods make up the Berlin district of Pankow?
Find the LOR planning area for Kollwitzkiez and show its details.
List all 12 Berlin districts with their key facts.

Connect

Claude Code

claude mcp add --transport http guthmann https://mcp.guthmann.estate/mcp

Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector, then paste the server URL above.

Cursor — use the install button above, or add manually:

{
  "mcpServers": {
    "guthmann": {
      "url": "https://mcp.guthmann.estate/mcp"
    }
  }
}

VS Code — use the install button above, or add to your MCP configuration:

{
  "servers": {
    "guthmann": {
      "type": "http",
      "url": "https://mcp.guthmann.estate/mcp"
    }
  }
}

Any other MCP client with Streamable HTTP support works the same way — point it at the server URL, no credentials needed.

Tools

The current scope is the Berlin area hierarchy — the geographic backbone every market query builds on: the 12 districts (Bezirke), their neighbourhoods (Ortsteile) and the LOR planning areas (Planungsräume).

Tool What it returns
berlin_bezirke All 12 districts
berlin_bezirk_details One district in detail
berlin_ortsteile Neighbourhoods, filterable by district
berlin_ortsteil_details One neighbourhood in detail
berlin_planungsraeume LOR planning areas, filterable
berlin_planungsraum_suche Search planning areas by name
berlin_planungsraum_details One planning area in detail

The server is being extended step by step towards the full Market Intelligence scope of the website: prices, rents, market trends and neighbourhood analytics for Berlin.

About

GUTHMANN® is a Berlin real estate broker. Market Intelligence is our public research area — this server is its machine-readable counterpart.

The server implementation lives in a private monorepo; this repository is the public home of the service: documentation, endpoint and issue tracker.