MCP server

Objelio Immobiliensuche Official

de.objelio/immobiliensuche

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search apartments, houses and plots for sale or rent in Germany, listed by real estate agents.

Website

At a glance

Type

MCP server

Publisher

objelio.de (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 3,389 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http immobiliensuche https://www.objelio.de/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.immobiliensuche]
url = "https://www.objelio.de/mcp"

Gemini CLI

{"mcpServers":{"immobiliensuche":{"httpUrl":"https://www.objelio.de/mcp"}}}

Cursor

{"mcpServers":{"immobiliensuche":{"url":"https://www.objelio.de/mcp"}}}

VS Code

{"servers":{"immobiliensuche":{"type":"http","url":"https://www.objelio.de/mcp"}}}

Antigravity

agy mcp add immobiliensuche https://www.objelio.de/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"immobiliensuche","server_url":"https://www.objelio.de/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"immobiliensuche","server_url":"https://www.objelio.de/mcp"}

Tools

• calculate_affordable_price ~464 tokens
  Estimates which purchase price a user can afford from equity and the monthly loan rate, after purchase costs of the federal state. Ask the user for equity, monthly rate and, if known, interest rate and repayment; otherwise suggested values are used and marked. Returns a link to an Objelio search wit
• calculate_purchase_costs Moves money · ~315 tokens
  Estimates the additional costs of buying a property in Germany (Kaufnebenkosten): real estate transfer tax of the federal state, notary and land register as a usual range, and the buyer's commission. Pass a listing_id from search_listings to use its price, postal code and commission, or pass price a
• compare_listings ~194 tokens
  Compares two or three listings from search_listings side by side: price, price per square meter, estimated purchase costs, area, rooms, building, energy certificate, features and agent. Only stored data; missing information is "unbekannt". Returns a link to the same comparison on objelio.de, where t
• explain_criteria ~120 tokens
  Shows how Objelio understands a search request in words, as structured criteria the user can check and correct before searching. Does not search.
• get_listing ~158 tokens
  Full published details of one listing: description, features, energy certificate, commission (Courtage), the offering agent and the link to the listing page.
• get_search_alert_link ~1064 tokens
  Read-only. Returns a link to a page on objelio.de where the user can subscribe to e-mail alerts for these criteria: new matching listings and price reductions, at most one e-mail a day, unsubscribe with one click. Pass the same criteria as in search_listings (at least one, e.g. a location). The user
• search_listings ~1074 tokens
  Search published real estate listings on Objelio. Pass structured criteria (preferred) or the user's request as text. Returns up to 10 listings with price, area, rooms, a fit per criterion (erfuellt = met, abweichend = slightly outside, unbekannt = no information) and a link to the listing page wher

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Badge for your README

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