DataGov Israel MCP Server

An MCP server for exploring Israeli government open data (data.gov.il) — with built-in interactive visualizations powered by MCP Apps.

Search thousands of public datasets, profile their structure, generate charts, and plot geographic data on maps — all from your AI assistant.

What Can You Do With This?

🏠 Explore the Housing Market

Profile public housing datasets to understand unit sizes, locations, and availability:

See which cities have the most demand in government housing lotteries:

Understand the distribution of apartment sizes across the country:

Track housing unit availability over time:

🗺️ Map Public Infrastructure

Visualize education institutions across Israel:

Plot public transport stations:

Quick Start

Installation

git clone https://github.com/aviveldan/datagov-mcp.git
cd datagov-mcp

# Create virtual environment and install (requires uv)
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e ".[dev]"

Using with Claude Desktop

fastmcp install claude-desktop server.py

Restart Claude Desktop — you'll see the DataGovIL tools available immediately.

Try It with the MCP Inspector

fastmcp dev inspector server.py

This opens a web UI where you can browse tools, test them interactively, and preview MCP App visualizations in the Apps tab.

Using with fastmcp dev apps

Preview the interactive visualization apps locally:

fastmcp dev apps server.py

Example: Finding Real Estate Opportunities

Here's a real workflow for someone exploring the Israeli housing market:

You: "Search for discounted housing lottery datasets"

→ package_search(q="דירה בהנחה")
  Found: "נתונים תקופתיים - תכנית דירה בהנחה" (Discounted Housing Program)
  Resource ID: 7c8255d0-49ef-49db-8904-4cf917586031

You: "Profile this dataset so I can understand what fields are available"

→ dataset_profile(resource_id="7c8255d0-49ef-49db-8904-4cf917586031")
  Shows: LamasName (city), Subscribers, Winners, PriceForMeter,
         LotteryHousingUnits, ProjectName, Neighborhood...

You: "Show me which cities have the most subscribers competing for units"

→ chart_generator(
    resource_id="7c8255d0-49ef-49db-8904-4cf917586031",
    chart_type="bar",
    x_field="LamasName",
    y_field="Subscribers",
    title="Housing Lottery Subscribers by City"
  )
  → Interactive bar chart rendered in MCP Apps UI

You: "Now show the public housing units — map them and show me sizes"

→ dataset_profile(resource_id="c3a68837-9b7a-4ee7-bd92-130678dc8ae3")
  Shows: CityLmsName, NumOfRooms (avg 2.4), Floor, TotalArea (21-110 m²)...

→ chart_generator(
    resource_id="c3a68837-9b7a-4ee7-bd92-130678dc8ae3",
    chart_type="histogram",
    x_field="TotalArea",
    title="Distribution of Housing Unit Sizes (m²)"
  )
  → Most units are 48-57 m², with a long tail up to 110 m²

Insight: Cities like Ashkelon and Sderot show 25,000-35,000 subscribers per lottery — that's intense competition. Smaller cities in the periphery (Umm al-Fahm, Nazareth) have far fewer. If you're flexible on loca

... View full README on GitHub