DataGov Israel MCP Server

Name: DataGov Israel MCP Server
Author: aviveldan

@aviveldan

Repository

About DataGov Israel MCP Server

MCP server for Israel Government Data

#datagov #israel #public-api

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "datagov-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is DataGov Israel MCP Server?

An MCP server for exploring Israeli government open data from data.gov.il. It enables AI assistants to search thousands of public datasets, profile their structure, generate interactive charts, and plot geographic data on maps.

How to use DataGov Israel MCP Server?

Clone the repository, create a virtual environment with uv, and install with uv pip install -e ".[dev]". To use with Claude Desktop, run fastmcp install claude-desktop server.py. For interactive testing, use fastmcp dev inspector server.py or preview apps locally with fastmcp dev apps server.py.

Key features of DataGov Israel MCP Server

Search and retrieve metadata from the Israel Open Data Portal
Profile dataset structure with statistics and quality metrics
Generate interactive bar, line, histogram, and scatter charts
Plot geographic data on interactive Leaflet maps
Includes pre-configured resource IDs for quick exploration
Built with FastMCP, prefab-ui, and async HTTP with retries

Use cases of DataGov Israel MCP Server

Explore the Israeli housing market by profiling and visualizing public housing data
Map public infrastructure such as schools and transport stations
Analyze government lottery data to identify demand trends by city
Correlate numeric fields across open datasets for research or reporting

FAQ from DataGov Israel MCP Server

What data sources does this server connect to?

It connects to the Israel Open Data Portal at data.gov.il via the CKAN API.

What tools are available?

Core tools include package_search, package_show, datastore_search, and fetch_data. Visualization tools are dataset_profile, chart_generator, and map_generator.

What are the system requirements?

Python 3.10+ and the uv package manager. All API calls use httpx.AsyncClient with a 30-second timeout and automatic retries on 5xx errors.

What chart types does `chart_generator` support?

It supports histogram, bar, line, and scatter chart types, each chosen based on the analysis use case.

How do I troubleshoot port conflicts with MCP Inspector?

Install nano-dev-utils and run python -c "from nano_dev_utils import release_ports; release_ports.PortsRelease().release_all()". Avoid running the installation in OneDrive-synced folders on Windows.