by boettiger-lab · MCP Server · ★ 22
MCP Data Server Documentation · The bigger picture An open Model Context Protocol (MCP) server that connects AI agents to cloud-native data: it grounds the agent in STAC metadata so it finds the right dataset and reads its schema, and confines it to validated cloud-native engines so it queries terabyte-scale data over S3 without downloading it, misreading it, or silently failing at scale. Today it serves SQL over Parquet via DuckDB with H3 spatial indexing; see the roadmap for array (Zarr) and hardware-accelerated engines.
| Stars | 22 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 70.5735009047346/100 |
| Open Issues | 18 |
| Last Updated | 2026-07-07 |
| Created | 2025-12-24 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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mcp-data-server is Duckdb-based MCP server for datasets. It is categorized as a MCP Server with 22 GitHub stars.
mcp-data-server is primarily written in Python.
You can find installation instructions and usage details in the mcp-data-server GitHub repository at github.com/boettiger-lab/mcp-data-server. The project has 22 stars and 3 forks, indicating an active community.
mcp-data-server is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.