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xby-source-coop

Web Tools Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-source-coop

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-source-coop in your terminal to install this plugin; the source code is hosted at https://github.com/xby-skill/xby-source-coop

About this plugin

Geospatial datasets are often scattered across dozens of organizational accounts, totaling hundreds of terabytes. When an AI client or researcher needs to locate a suitable dataset on Source Cooperative and inspect its file structure, the traditional approach means endless page-flipping and guessing S3 paths. xby-source-coop collapses that into a few function calls within a conversation, exposing 800TB+ of open geospatial data through the MCP / JSON-RPC protocol.

Core capabilities include smart fuzzy search (handles typos and partial matches across 94+ organizations), listing product catalogs per account (fast S3 scan or rich API metadata), retrieving product details with embedded README content, browsing files as a token-efficient tree view (saving roughly 70% LLM tokens), and fetching individual file metadata without downloading. Everything returns structured JSON over JSON-RPC, making it a natural fit for conversational workflows.

Ideal for graduate students and engineers working in climate science, remote sensing, and urban modelling, as well as developers building AI agents that need to autonomously discover and preprocess geospatial data. With just one API key, finding the right dataset becomes a single sentence in DeepSeek Harness.

Use Cases

  • An AI agent fuzzy-searches climate datasets and browses the file tree in a single chat
  • A researcher pinpoints a remote-sensing product and reads its embedded README
  • A developer lets an agent discover geospatial sources and pull S3 download URLs

Best For

  • Researchers in climate science, remote sensing, and urban modelling
  • Developers building geospatial AI agents
  • Data engineers cataloging 800TB+ of open geospatial sources