opendata-ua-mcp

opendata-ua-mcp

Enables AI agents to search and analyze Ukraine's national open-data portal (data.gov.ua) using natural language, with tools for finding datasets, inspecting metadata, and retrieving actual data.

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README

opendata-mcp — data.gov.ua MCP server

Українською

An open-source MCP server that lets any MCP-compatible AI agent search and analyze Ukraine's national open-data portal data.gov.ua in natural language.

It speaks the Model Context Protocol, so it works with any client that supports MCP — including Claude (Desktop / Code), ChatGPT (Developer Mode / custom connectors), Google Gemini, Cursor, Cline / Continue, VS Code Copilot, local models via Ollama / LM Studio, and your own agents built on the Python/TypeScript MCP SDKs. Not tied to any single vendor.

Phase 1: read-only, public endpoints — no API token, no auth required.

Design

Tools are jobs-to-be-done, not thin API wrappers. Each tool does a complete user task, composes several CKAN calls internally, hides portal quirks (UUID slugs, dirty formats, sparse DataStore, Unicode homoglyphs), and returns a token-efficient slim result (a search hit is ~150 B vs ~17 KB raw).

Tool What it does
find_datasets Find datasets by topic; ranked slim candidates + refine hints
explore_catalog Aggregate view (who publishes / how much) — counts only
inspect_dataset Full dataset card: license, freshness, resources
get_dataset_data Get the actual data — auto-picks best resource; DataStore or download+parse CSV/JSON/XLSX/XML, including files inside ZIP archives (ЄДР, debtors registries)
filter_data Filter rows / read-only SQL over a structured (DataStore) resource
track_updates Recently updated datasets, filterable by topic/org

Install

The server runs over stdio, the transport every MCP client understands. The config below is the same everywhere — only the file/menu where you paste it differs per client.

Any MCP client (npm) — universal

{
  "mcpServers": {
    "opendata-ua": {
      "command": "npx",
      "args": ["-y", "@opendata-ua/mcp-server"]
    }
  }
}

Where to put it:

Client Location
Claude Desktop Settings → Developer → Edit Config (claude_desktop_config.json)
Claude Code claude mcp add opendata-ua -- npx -y @opendata-ua/mcp-server
ChatGPT Settings → Connectors → add MCP server (Developer Mode)
Google Gemini Gemini CLI / SDK mcpServers config
Cursor Settings → MCP → Add Server (~/.cursor/mcp.json)
Cline / Continue / VS Code the extension's MCP settings
Custom agent point your MCP SDK at npx -y @opendata-ua/mcp-server

Claude Desktop — one-click DXT

DXT is Claude Desktop's drag-and-drop bundle format:

  1. Download opendata-ua-mcp.dxt from Releases.
  2. Drag it into Claude Desktop → Settings → Extensions. Done. No config.

From source

npm install
npm run build
node dist/stdio.js   # any MCP client can spawn this

Try it

"Find ecology datasets from Lviv published in 2024" "Which organizations publish the most procurement data?" "Show me the first rows of the stolen-vehicles register"

Configuration (optional)

Env var Default Purpose
DATA_GOV_UA_BASE_URL https://data.gov.ua/api/3/action API base (mirror/dev portal)
CACHE_TTL_SECONDS 300 LRU cache TTL for catalogs
HTTP_TIMEOUT_MS 30000 Request timeout
MAX_RESPONSE_CHARS 60000 Per-response context-budget ceiling
MAX_DOWNLOAD_BYTES 10000000 Cap for files downloaded + parsed locally
LOG_LEVEL info debug/info/warn/error

Develop

npm test          # vitest
npm run typecheck
npm run lint
npm run smoke      # live test against data.gov.ua
npm run build:dxt  # build the .dxt package

The portal runs CKAN 2.7.2. DataStore (queryable rows) covers only ~0.3 % of resources, so get_dataset_data downloads + parses files locally when needed; filter_data/SQL apply to the DataStore-active minority.

License

MIT © Open Data UA Community

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