MCP for public datasets OpenDOSM (Developed by Seah Boon Keong) What it delivers: - 163 curated datasets (Department of Statistics Malaysia + sources) - Programmatic tools: discover, query, get latest, correlation, ARIMA forecasts (with fallback) Benefits: Accessibility - Economists, analysts, and policymakers can interact without technical barriers. Speed - Instant retrieval of complex datasets. Ability to support forecast and correlation features. Integration - Enable integration to dashboa
Cross-referenced across 55 tracked directories
#9063
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
10/15/2025
First Seen
Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
grafana
🎖️ 🐍 🏠 ☁️ - Search dashboards, investigate incidents and query datasources in your Grafana instance
59b9f352-8cdc-44d3-9dd9-db3bfa521880
No description available
datalayer
🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.