Nala for agents

UAE move intelligence,ready for agents.

Give an AI agent structured answers about where to live, which schools fit, what a move really costs and what should happen next—without asking the model to invent the numbers.

Connect Nala MCP Try the human experience

assess_move · sample schema

“Family of four, AED 80k monthly, British curriculum, four-bed villa and no more than 45 minutes to DIFC.”

Recommendation A

Community match

Evidence labelled

True cost

Calculated

Commute

Modelled

Developer

Attributed

Why it fits and the main trade-off are returned with the figures, their source type and a route into Nala's visual workspace.

3 recommendations returned read-only

77 UAE communities

60 curated schools

Dubai + Abu Dhabi

Read-only by design

Four tools. One connected model.

Stop making the agent reconcile ten relocation tabs.

Nala keeps salary, housing, schools, commute and disposable cash in the same deterministic decision model. Every response carries evidence labels and a route back to the visual Nala workspace.

Best first call

assess_move

Assess the whole move

Turn salary, workplace, household, home and school needs into three explainable UAE community strategies.

Decision-ready

compare_move_options

Compare communities

Put two or three places side by side on true monthly cost, headroom, commute, schools and developer context.

Source-labelled

find_schools

Find fitting schools

Filter by emirate, curriculum, representative fee and rating, with a modelled school run from a chosen community.

Action-oriented

build_move_plan

Build the move plan

Convert an arrival date and optional community or school into a dated sequence with owners and evidence.

Facts first. Explanation second.

Useful to the agent.Safe for the mover.

Nala calculates the recommendation before the language model explains it. Housing costs stay indicative, school fees stay published planning points, and commute times stay modelled. Unknown inputs are rejected instead of guessed.

Read the data methodology

Money

True monthly cost and remaining cash are returned separately.

Schools

Fees, inspection evidence and availability caveats remain explicit.

Places

Community and developer context links back to its source profile.

Boundaries

No saving, contacting, booking or destructive action happens silently.

Streamable HTTP MCP

One endpoint. No fragile scraping.

Point an MCP-compatible agent at Nala. The public beta tools are stateless, read-only and do not require a Nala account. The human decision workspace remains available when a result needs maps, saving or an introduction.

Model Context Protocol (MCP) gives an AI agent a standard way to call Nala's UAE relocation tools and receive typed, structured results.

Explicit input and output schemas

Read-only and idempotent tool annotations

Structured results plus concise agent-readable text

CORS enabled for compatible remote clients

MCP client configurationLive

{
  "mcpServers": {
    "nala-uae": {
      "url": "https://nala-move-uae.lovable.app/mcp"
    }
  }
}

Protocol version 2025-11-25 · JSON or SSE

Built for relocation conversations

Let the agent talk. Let Nala do the maths.

Start with a salary and workplace, then move naturally from feasibility to community, school and a dated plan.

Connect Nala MCP