What data sources does this server connect to?
It connects to the Israel Open Data Portal at data.gov.il via the CKAN API.
@aviveldan
Basic information
MCP server for Israel Government Data
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"datagov-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
It connects to the Israel Open Data Portal at data.gov.il via the CKAN API.
Core tools include `package_search`, `package_show`, `datastore_search`, and `fetch_data`. Visualization tools are `dataset_profile`, `chart_generator`, and `map_generator`.
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.
It supports `histogram`, `bar`, `line`, and `scatter` chart types, each chosen based on the analysis use case.
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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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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