InmoPipeline MCP Server

Example Use Cases

• 1

  Automated property price predictions based on up-to-date market data.

• 2

  Interactive dashboards and KPIs to analyze the Colombian real estate market.

• 3

  An intelligent assistant to handle real estate queries automatically via n8n workflows.

Description

InmoPipeline MCP server integrates a complete data engineering and machine learning pipeline for the Colombian real estate market, offering automated workflows and REST API endpoints for property price prediction and market insights. It leverages web scraping, data warehousing, and a validated Random Forest model to deliver accurate predictions with an average error of 19.44%. The server supports intelligent agent automation via n8n workflows and Google Gemini LLM, enabling seamless, automated real estate queries.