by hike-lab · MCP Server · ★ 74
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MCP-based discovery and judgment layer for Korea’s open data portal—helping AI agents find, compare, and assess datasets with explicit evidence, JSON-LD/DCAT metadata, and versioned deterministic rules.
| Stars | 74 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.6029118118812/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-08 |
| Created | 2026-08-03 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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public-data-lens is MCP-based discovery and judgment layer for Korea’s open data portal—helping AI agents find, compare, and assess datasets with explicit evidence, JSON-LD/DCAT metadata, and versioned deterministic rule. It is categorized as a MCP Server with 74 GitHub stars.
public-data-lens is primarily written in Python. It covers topics such as ai-agents, ai-ready-data, data-catalog.
You can find installation instructions and usage details in the public-data-lens GitHub repository at github.com/hike-lab/public-data-lens. The project has 74 stars and 18 forks, indicating an active community.
public-data-lens is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to public-data-lens on Agent Skills Hub include FirstData, ckan-mcp-server, ontosphere. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.