boettiger-lab/mcp-data-serverMCPMCP Server

mcp-data-server

Duckdb-based MCP server for datasets

22stars

3forks

Python

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AI summary

Auto-generated overview of what this skill does and when to reach for it.

Query large geospatial datasets via SQL using DuckDB and H3 indexing through an MCP server.

Use this when

Need to analyze global environmental datasets without local setup
Query protected areas or biodiversity scores by region
Calculate land/water fractions for countries or watersheds
Access datasets like GLWD, WDPA, or iNaturalist via SQL
Run ad-hoc geospatial queries on petabyte-scale data

Don't use when

Working with non-geospatial data or small local files
Requiring real-time, low-latency queries on local machines
Needing to modify or update datasets directly

Capabilities

Query datasets via DuckDB SQL over S3 parquet files
H3 hexagonal grid indexing for efficient spatial operations
Dynamic dataset discovery via STAC catalog
Isolated DuckDB instances per query for security
Stateless HTTP mode for horizontal scalability
Rich dataset catalog (10+ environmental/biodiversity datasets)

InstallMCPRun via uvx (Python)

Universal installANY TOOL

$ npx skillcity@latest boettiger-lab/mcp-data-server

Auto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.

Requires Node.js 18+ (ships with npx).

Or install manually

uvx mcp-data-server

MCP Configuration

Add this to your claude_desktop_config.json

{
  "mcpServers": {
    "mcp-data-server": {
      "command": "uvx",
      "args": [
        "mcp-data-server"
      ]
    }
  }
}

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mcp-data-server