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DataGov Israel MCP Server

@aviveldan

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

aviveldan

DataGov Israel MCP Server について

MCP server for Israel Government Data

#datagov#israel#public-api

DataGov Israel MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

DataGov Israel MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What data sources does this server connect to?

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

2

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`.

3

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.

4

What chart types does `chart_generator` support?

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

5

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.

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