MCP server for datos.gob.do — Dominican Republic open government data (CKAN 2.11).
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"datosgobdo": {
"args": [
"--from",
"git+https://github.com/alcastaro/datos.gob.do-MCP-server.git",
"datosgobdo-mcp"
],
"command": "/Users/YOUR_USERNAME/.local/bin/uvx"
}
}
}Are you the author?
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A Model Context Protocol server that exposes the Dominican Republic's open government data (datos.gob.do) as tools consumable by any AI assistant.
No automated test available for this server. Check the GitHub README for setup instructions.
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A Model Context Protocol server that exposes the Dominican Republic's open government data (datos.gob.do) as tools consumable by any AI assistant.
It turns the official Dominican open-data portal into a native integration for Claude Desktop, Claude Code, Cursor, ChatGPT Desktop or any MCP-compatible client. The model can search, read, analyze, and preview the 1,053+ datasets published by the country's 266 government institutions, all from within a conversation.
Official source. The canonical repository is
alcastaro/datos.gob.do-MCP-server. The only official distributions are the PyPI packagedominican-open-data-mcpand the MCP Registry entryio.github.alcastaro/datos.gob.do-MCP-server. Copies published elsewhere are not maintained by the author and may be outdated or modified — verify against this repository before installing.
📚 New here? Read the Tutorial — how the server works, how to use it, and how to build your own MCP server like it. (Español)
datos.gob.do publishes thousands of CSV, XLSX, and JSON files with public data: payrolls, budgets, crime statistics, health indicators, electoral data, and more. Today that information is only accessible to people who know how to navigate the CKAN portal and download files manually.
This MCP closes that gap. Anyone can ask their assistant:
…and the model — without the user having to write code, navigate URLs, or download files — runs the actual queries against the portal, downloads the data, parses it, and analyzes it.
Model Context Protocol is an open standard (created by Anthropic, adopted by OpenAI and others) that lets language models connect securely to external data sources and tools. An "MCP server" exposes a collection of typed functions; the model decides when to invoke them, with what arguments, and how to combine the results.
This project is an MCP server specialized in datos.gob.do.
The official open-data portal of the Dominican government, operated by OGTIC (the country's IT and communications office). It runs on CKAN 2.11.3, the same open-data software used by portals like data.gov (USA), data.gov.uk, and many other Latin American governments.
As of May 2026 it contains approximately:
Each dataset bundles one or more "resources" (downloadable files) in formats such as CSV, XLSX, ODS, PDF, or JSON.
This MCP is inspired by datagouv-mcp (France), but datos.gob.