QueueLab / QueueLab/QCX

Nasa Tool

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

Description

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

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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.

Assessment

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

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