.zenodo.json

{
  "title": "MCP Data Server",
  "upload_type": "software",
  "access_right": "open",
  "license": "BSD-3-Clause",
  "creators": [
    {
      "name": "Boettiger, Carl",
      "orcid": "0000-0002-1642-628X",
      "affiliation": "University of California, Berkeley"
    }
  ],
  "keywords": [
    "Model Context Protocol",
    "MCP",
    "STAC",
    "DuckDB",
    "cloud-native",
    "geospatial",
    "H3",
    "AI agents"
  ],
  "description": "An open Model Context Protocol (MCP) server that connects AI agents to cloud-native data. It grounds agents in STAC metadata and confines them to validated cloud-native engines — SQL over Parquet on S3 via DuckDB with H3 spatial indexing — so they can query terabyte-scale data without downloading it, misreading it, or silently failing at scale. Runs locally for sensitive data or on autoscaling Kubernetes for scale."
}