@marocain/mcp-server

@marocain/mcp-server

MCP server for Marocain Investments that enables discovering, scoring, and analyzing Moroccan luxury real estate, along with submitting enquiries through the platform.

Category
Visit Server

README

@marocain/mcp-server

npm ci license node Glama MCP Smithery MCP

The official Model Context Protocol server for marocain.investments — bringing {GIN}, our authored real-estate intelligence for Morocco, into any MCP client (Claude Desktop, IDEs, agents).

Discover, score and analyse Moroccan luxury real estate — then submit an enquiry that's routed on-platform. All the analysis is free; contact with the agent is always intermediated by the platform.

What is {GIN}?

{GIN} is the platform's proprietary scoring DNA. Instead of one blurry "AI score", it speaks with two coherent pillars fused into one honest verdict:

  • {GIN} Quality — how good the asset is (vision view/structural/condition + location + yield + WC 2030 catalyst + trust).
  • {GIN} Deal — how good the buy is (asking price vs. the M-Value AVM, adjusted for city momentum).
  • Fused verdict — one buy/hold/pass headline that can never disagree with the numbers ("Prime asset, priced to buy", "Cheap — verify condition", …).

It's the difference between a good property and a good deal — the question generic scores never answer. It's honest by design: an overpriced listing is told it's overpriced.

Install

No install needed — run it straight from npm:

npx -y @marocain/mcp-server

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "marocain": {
      "command": "npx",
      "args": ["-y", "@marocain/mcp-server"]
    }
  }
}

Tools

Eleven tools — eight read-only analysis tools, a moat-safe enquiry tool, and two commerce tools (discover + order paid services).

Analyse (free)

Tool What it does
search_listings Search AI-graded Moroccan listings by city, typology, price, rooms, free-text.
get_listing Full detail for one listing — price (USD/MAD), AI scores, M-Value AVM, trust, {GIN} pillars + verdict.
get_gin_score The {GIN} verdict: Quality + Deal pillars + the fused buy/hold/pass headline.
get_market Macro market facts for a city or national scope (median price, supply, momentum, WC 2030 / TGV catalysts).
listing_derive AI-derived one-paragraph investment memo for a listing (6 languages).
semantic_search Conceptual / vector search across the catalogue and the authored guides (Foreign Buyer's Playbook, Morocco-vs-Dubai, AI-scoring methodology, residency, city theses).
gin_ask Ask T{AI]GIN, the agentic investment analyst, a one-shot question — it plans, searches, scores with the {GIN} pillars and answers with citations.
gin_deal_memo A structured, honest investor deal memo for one listing (verdict, M-Value, yield, strengths, risks, district read, next steps).

Enquire & transact

Tool What it does
request_service Submit a buyer enquiry / request a viewing — routed on-platform to the listing's verified agent. Returns a reference, never any contact.
list_services The transactable service catalogue + EUR prices — buyer services (AI staging, viral content, reservation, appraiser, visitation — note the live API product_type id is spelled visaitation — the €199 AI business plan, lawyer / financing / commercialization) and agent services (listing boost, photo relight).
order_service Order any service. Instant products return a Stripe checkout_url (pay on-platform); request-only products return a tracked order_id. Never returns contact.

Payments: card checkout for instant products may be briefly unavailable while the platform reconnects its payment processor — request-based services and buyer enquiries work regardless. order_service reports this cleanly.

Discover → analyse → enquire

The model is simple and the same for everyone: all the intelligence is free (it's lead-gen), and the only way to make contact is through the platform (that's the moat, and how agents are billed).

  1. Discover & score with search_listings / get_gin_score / semantic_search.
  2. Go deep with get_listing / gin_deal_memo / gin_ask.
  3. Enquire with request_service — it routes the buyer's interest to the listing's verified agent and returns a reference. You never receive the agent's phone, email or WhatsApp; the platform intermediates contact.

Most of the catalogue is still being onboarded by agents. request_service routes to a listing's claimed, verified agent; for a listing without one yet it returns a clear note instead of routing.

Example response shapes

get_gin_score({ id }) → the authored verdict:

{
  "id": "…",
  "title": "…",
  "price_usd": 9630000,
  "gin_verdict": { "key": "prime_value", "label": "Prime asset, priced to buy", "tone": "strong" },
  "gin_quality": 76,
  "gin_deal": 64,
  "m_value_usd": 9100000,
  "trust": { "title_verified": false, "fcr_status": "unknown" }
}

request_service({ listing_id, buyer_name, buyer_email, message }) → an on-platform reference, no contact:

{ "ok": true, "kind": "lead", "lead_id": "…", "status": "requested", "routed": true }

Moat-safe by design

No tool ever returns an agent's or seller's contact. On top of the public API hiding the phone, this server redacts the origin-portal deep link (source_url / source_listing_id) and the agent / agency name from listing payloads — so a downstream agent can't route a user off-platform to the seller. The single conversion path is request_service, which routes a buyer enquiry through marocain's own lead flow and returns a reference, never any contact. Discover, score and analyse freely; contact is always intermediated by the platform.

Troubleshooting

Symptom Cause Fix
request timed out after 30000ms Upstream slow or unreachable. Retry. Bump MAROCAIN_TIMEOUT_MS if your network is high-latency.
The Marocain API returned an error (403) Rare — Vercel platform-level anti-bot on very bursty traffic. Back off and retry.
valid buyer_email required (from request_service) A buyer name + valid email are mandatory so the agent can reply. Supply both.
listing_unclaimed (from request_service) The listing has no claimed agent yet, so the enquiry can't be routed. Try a claimed/verified listing; check back as agents onboard.
ignoring disallowed MAROCAIN_API_BASE You set MAROCAIN_API_BASE to a non-HTTPS or non-allowlisted host. Leave it unset (the default is correct).

Configuration

Env var Default Purpose
MAROCAIN_API_BASE https://marocain.investments Override the API origin (testing only; must be HTTPS + allowlisted).
MAROCAIN_TIMEOUT_MS 30000 Per-request upstream timeout.

Related

  • Skills catalog: @hei33enberg/luxury-skills (npm) — the machine-readable capability catalog this server draws from.
  • Live API: https://marocain.investments/api/public/* · AEO manifest: /llms.txt.

Releasing

Publishing to npm is automated by a GitHub Action (publish-mcp) in the platform repo:

# bump the version, commit, push — the Action publishes @marocain/mcp-server
npm version patch        # or minor / major  (edits package.json)
git push --follow-tags

Local npm test runs the unit tests (CI runs them on Node 18/20/22); CI additionally runs the black-box MCP handshake smoke (node test/smoke.mjs) on Node 20.

License

MIT © marocain.investments

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured