- Add polar stereographic coordinate transform (EPSG:3413/3031) in geo.py
so geographic bboxes are properly converted to projected meters
- Auto-detect image format: PNG for colormapped layers (preserves exact
colors for query_point reverse-mapping), JPEG for true-color
- get_imagery format parameter now defaults to "auto" instead of "jpeg"
- Embed NDVI seasonal timelapse and polar stereo images in README
- 96 tests passing
- query_point: reverse-maps pixel RGB through colormap to recover exact
data values at geographic coordinates
- get_time_series: fetches imagery across evenly-spaced dates for
temporal analysis (up to 12 frames)
- Auto-detect polar stereographic projection (EPSG:3413/3031) for
high-latitude bounding boxes
- Add progress reporting to all HTTP-calling tools
- Add quantitative_snapshot and seasonal_timelapse prompts
- Update README with 3 new conversational examples
- 92 tests passing
Fetch script uses FastMCP Client to call tools through MCP protocol.
Includes Amazon true color, global temperature with legend,
and Arctic sea ice March vs September comparison.
Conversational examples now grounded in actual tool output.
Five new prompts guide LLMs through multi-tool workflows:
satellite_snapshot, climate_monitor, layer_deep_dive,
multi_layer_story, polar_watch. README documents all 11 tools,
5 resources, and 7 prompts with example conversations.
MIT license, project URLs, and updated classifiers for PyPI.
