@marocain/mcp-server
Related Servers
Alternatives to @marocain/mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceMCP server for real estate search, property valuation, market analysis, and lead management in Rabat, Salé, and Témara, Morocco.6 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server for generating PDF reports on real estate properties. Supports location analysis, market reports, and project summaries.Mozilla Public 2.0
- AlicenseNot gradedqualityCmaintenanceMCP server for querying Israeli government real estate data, enabling property deal searches, market trend analysis, and address retrieval.4MIT

stream-estateofficial
AlicenseAqualityDmaintenanceMCP server for the Stream.estate French real estate API. Search properties, get market statistics, manage saved searches with webhook notifications.1335 npm3MIT- AlicenseBqualityDmaintenanceAn MCP server for accessing the Fotocasa1 API to search real estate listings and retrieve detailed property information in Spain. It supports location suggestions, property filtering by type and price, and fetching specific property details.3MIT
- FlicenseNot gradedqualityDmaintenanceMCP server for Prospecto that enables managing your prospection pipeline with AI, including prospects, campaigns, and scraping.-
TDQS
Scored across 14 tools
Tools are mostly distinct: search vs. get vs. generate vs. service actions are clear. The main potential confusion is among the listing-centric tools (get_listing, get_gin_score, gin_deal_memo, listing_derive) which all operate on a single listing but produce different outputs. Descriptions do clarify the differences, but an agent might still hesitate when choosing between them.
Names mostly follow verb_noun pattern (search_listings, get_listing, list_services), but a few like listing_derive, gin_ask, gin_deal_memo break the pattern with noun_verb. Still, all names are descriptive and use a consistent snake_case style, so the deviation is minor.
14 tools is within the ideal range (3-15). Each tool covers a distinct aspect of the real estate investment workflow: search, detail, score, memo, market data, services, and financial calculators. No tool feels redundant.
The surface covers the full investor journey: discover (search), evaluate (get_listing, get_gin_score, gin_deal_memo, listing_derive), understand market (get_market), calculate (rent_affordability, rent_vs_buy), and act (request_service, order_service, list_services). Also includes semantic search and an agentic Q&A. No obvious gaps for the stated purpose.