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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter-notebook, typescript

Research direction

Start with the search_earth_datasets and search_earth_datagranules tools, then trace how Jupyter Notebooks are invoked for analysis. Done means location names, regions, or coordinates become a bounding_box filter, and analysis results appear in both the map render and user chat output.

Written by the indexing model from the issue text.

Description

Backend MCP System

The platform should be able to do data science analysis on earth data.
When prompting, you can specify the location you're interested in — for example, by mentioning a place name, region, or coordinates. The AI will interpret this location information and translate it into bounding_box — a parameter supported by both search_earth_datasets and search_earth_datagranules tools available on this MCP server. This parameter is then used to filter the search results to datasets covering the specified area.

Then Jupyter Notebooks will perform additional analysis on this data as required by the initial prompt. Results to output into the map render and user chat output

Dominant language
TypeScript
Stars
19
Forks
7
Avg merge
59m
Merged PRs (30d)
16

Contributor guide

No contributing guide indexed for this repository

First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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