Skip to main content
Glama
Hei33enberg

@marocain/mcp-server

by Hei33enberg

Related Servers

Alternatives to @marocain/mcp-server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for generating PDF reports on real estate properties. Supports location analysis, market reports, and project summaries.
      Mozilla Public 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server for querying Israeli government real estate data, enabling property deal searches, market trend analysis, and address retrieval.
      4
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      MCP server for the Stream.estate French real estate API. Search properties, get market statistics, manage saved searches with webhook notifications.
      13
      35 npm
      3
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      An 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.
      3
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      MCP server for Prospecto that enables managing your prospection pipeline with AI, including prospects, campaigns, and scraping.
      -

    TDQS

    A4/5.0

    Scored across 14 tools

    Disambiguation4/5

    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.

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues