GUTHMANN® Market Intelligence MCP Server

by guthmann Your server? Claim it

answering

GUTHMANN® Market Intelligence is answering right now. Last checked 13 min ago. It exposes 7 tools. Last commit 1 Sep 2026.

The Berlin real estate market, machine-readable: free market data for AI agents by GUTHMANN®.

Uptime history 11 hours of history

11 hours agonow

100.0%

Uptime 24h

40 of 40 checks

Tools

read from the server

264 ms

Response time

average over 24h

Stars

last commit 1 Sep 2026

Nothing serious here today

Today is the operative word: we check GUTHMANN® Market Intelligence every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.market-intelligence]
url = "https://mcp.guthmann.estate/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

berlin

berlin_bezirk_details

Liefert Details zu einem Berliner Bezirk nach ID, optional mit allen Ortsteilen. Parameter: - bezirk_id (required): 2-stellige ID ("01" bis "12") - ortsteile: "true" um alle Ortsteile des Bezirks einzuschließen Rückgabe: { bezirk_id, bezirk_name, ortsteile?: [...] } Beispiel: bezirk_id="03" → Pankow mit 13 Ortsteilen (Prenzlauer Berg, Weißensee, etc.)

berlin_bezirke

Liefert alle 12 Berliner Bezirke mit IDs und Namen. Rückgabe: Array mit { bezirk_id, bezirk_name } - bezirk_id: 2-stellig ("01" bis "12") - bezirk_name: z.B. "Mitte", "Friedrichshain-Kreuzberg", "Pankow" Nutze wenn: - Du eine Übersicht der Berliner Verwaltungsstruktur brauchst - Du bezirk_id für Marktdaten-Abfragen benötigst Nutze NICHT wenn: - Du bereits die bezirk_id kennst → direkt berlin_bezirk_details verwenden

berlin_ortsteil_details

Liefert Details zu einem Berliner Ortsteil nach ID, optional mit Planungsräumen. Parameter: - ortsteil_id (required): 4-stellige ID (z.B. "0301") - planungsraeume: "true" um alle Planungsräume des Ortsteils einzuschließen Rückgabe: { ortsteil_id, ortsteil_name, bezirk_id, bezirk_name, planungsraeume?: [...] }

berlin_ortsteile

Liefert alle 96 Berliner Ortsteile, optional gefiltert nach Bezirk. Parameter: - bezirk_id (optional): Filtert auf Ortsteile eines Bezirks - bezirke: "true" um Bezirk-Referenzen einzuschließen Rückgabe: Array mit { ortsteil_id, ortsteil_name, bezirk_id?, bezirk_name? } - ortsteil_id: 4-stellig (z.B. "0301" für Prenzlauer Berg) Beispiele bekannter Ortsteile: - Prenzlauer Berg (0301), Kreuzberg (0201), Mitte (0101) - Charlottenburg (0401), Neukölln (0801), Friedrichshain (0202)

berlin_planungsraeume

Liefert alle 542 Berliner Planungsräume, optional gefiltert nach Bezirk oder Ortsteil. Parameter: - bezirk_id (optional): Filtert auf Bezirk - ortsteil_id (optional): Filtert auf Ortsteil - bezirke/ortsteile: "true" um Parent-Referenzen einzuschließen Rückgabe: Array mit { planungsraum_id, planungsraum_name, ... } - planungsraum_id: 8-stellig (z.B. "03010101") Planungsräume sind die feinste statistische Ebene in Berlin. Ideal für granulare Marktanalysen.

berlin_planungsraum_details

Liefert Details zu einem Berliner Planungsraum nach ID, optional mit Blöcken. Parameter: - planungsraum_id (required): 8-stellige ID - bloecke: "true" um alle Blöcke des Planungsraums einzuschließen Rückgabe: { planungsraum_id, planungsraum_name, bezirk_id, bezirk_name, ortsteil_id, ortsteil_name, bloecke?: [...] }

berlin_planungsraum_suche

Sucht Berliner Planungsräume nach Name. Parameter: - q (required): Suchbegriff (min. 3 Zeichen) - limit: Max. Ergebnisse (Standard: 25) - bezirk_id/ortsteil_id: Optional zum Einschränken Beispiel: q="Kollwitz" findet "Kollwitzplatz" Planungsraum

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.guthmann.estate/mcp	streamable-http	answering	489 ms	13 min ago

Alternatives to GUTHMANN® Market Intelligence

same job, measured the same way

Pimea

by pimea

The hidden intelligence for AI marketing agents. Real campaign data, not LLM guesses.

3 tools answering

AgentHC Market Intelligence

by traderhc

Market intelligence for AI agents. Real-time data, cross-market analysis, and regime detection.

answering

Drone Intelligence

by droneintelligence

Drone-sector market intelligence for AI agents: free briefings and profiles, licenced tracker data.

12 tools answering

Agent Bits

by rwaldman

Machine-readable utilities and datasets for AI agents.

18 tools answering

Altos

by pipeworx-io

Altos Research MCP — Real estate market intelligence

37 tools answering

Kdata Gate

by loved0543-dotcom

Korean market data for AI agents: K-beauty/K-food products, Naver trends, stocks, real estate.

26 tools answering

Agent News by The Agent Times

by theagenttimes

Verified, sourced, real-time intelligence layer for AI agents.

20 tools answering

MEV Intelligence

by advalorem-mev

Real-time Ethereum liquidation intelligence for AI agents and MEV bots.

10 tools answering

GUTHMANN® Market Intelligence — questions

Answers built from our own checks of this server.

What can GUTHMANN® Market Intelligence do?

It exposes 7 tools, read directly from the server on our last check. Among them: berlin_bezirk_details, berlin_bezirke, berlin_ortsteil_details, berlin_ortsteile, berlin_planungsraeume, berlin_planungsraum_details and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is GUTHMANN® Market Intelligence working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 40 of 40 checks got a reply (100.0%), average response time 264 ms. The bar chart above shows every period we have measured.

How do I connect GUTHMANN® Market Intelligence?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does GUTHMANN® Market Intelligence need an API key?

No. GUTHMANN® Market Intelligence completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is GUTHMANN® Market Intelligence?

It answers our handshake in 264 ms on average, which is faster than 62% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is GUTHMANN® Market Intelligence open source?

Yes — 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.