MoteurImmo MCP Server

MoteurImmo MCP Server – Overview

The MoteurImmo MCP Server bridges the gap between AI assistants and France’s leading real‑estate portals. By exposing a set of well‑defined tools over the Model Context Protocol, it lets agents query property listings in real time without having to build custom scrapers or deal with the intricacies of each portal’s API. This capability is especially valuable for developers who want to embed property search directly into conversational agents, virtual assistants, or automated workflows.

At its core, the server offers two primary tools: search_ads and get_ad. search_ads allows an AI to perform a multi‑parameter search—price ranges, surface area, location, number of rooms, and optional amenities such as garage or terrace—returning a concise list of matching listings. get_ad retrieves the full details for a single listing given its unique identifier, enabling agents to present rich property information or generate follow‑up questions. Optional features such as negotiation analysis and historical price tracking can further augment the assistant’s advisory role, providing insights into market trends or price evolution.

Developers benefit from the server’s lightweight integration model. Once the MCP endpoint is registered in an agent’s configuration, the assistant can issue natural‑language prompts that are automatically translated into structured tool calls. The server then forwards these requests to the MoteurImmo API, handling authentication and data transformation. This seamless flow means developers can focus on crafting conversational logic rather than worrying about API rate limits, pagination, or data normalization.

Typical use cases include real‑estate chatbots that help users narrow down options, property recommendation engines within brokerage platforms, or automated lead‑generation scripts that fetch recent listings matching a client’s criteria. In each scenario, the MCP server provides instant access to up‑to‑date listings across multiple French portals, ensuring agents deliver accurate and timely information.

What sets this MCP server apart is its adherence to the Model Context Protocol’s declarative tool model, which guarantees consistent behavior across different AI platforms. The server also supports optional historical and negotiation analysis features that can enrich user interactions with actionable market insights—something most generic property APIs do not offer. By encapsulating these capabilities behind a simple, well‑documented MCP interface, the MoteurImmo MCP Server empowers developers to deliver sophisticated, data‑driven real‑estate experiences with minimal overhead.