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geochef-skill

An MCP Skill for RS-VLM dataset intelligence — search, compare, leakage detection, relationship analysis, paper lookup, and smart recommendations for Remote Sensing Vision-Language datasets.

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What's in it

Data offered docs-verified: RS-VLM dataset metadata index (146+ datasets across VQA, Caption, VG, Comprehensive) · dataset-to-paper links (arXiv, IEEE, ISPRS, etc.) · source-dataset overlap and leakage relations · dataset statistics: year, task, modality, geography, venue, trends · latest NASA Earth Observatory satellite image
Update frequency docs-verified: Upstream source (Awesome-RS-VL-Data) described as continuously updated; index refresh cadence not stated
Formats docs-verified: Markdown · BibTeX
Access docs-verified: Free and open source, MIT licence (per entry metadata); no API key required

Useful for

Use cases llm-inferred: Scoping remote-sensing vision-language datasets for an in-house EO or AI tool · Checking source-data overlap (leakage risk) before benchmarking a remote-sensing model · Building a dataset shortlist with paper links for a remote-sensing AI proposal or literature review
Audience llm-inferred: GIS analysts · remote sensing and EO scientists · ML engineers working on vision-language models

Limitations

Constraints llm-inferred: Index covers 146+ datasets and is not stated to be exhaustive · Docs describe dataset metadata and paper links; direct dataset data access is not described · Index refresh cadence is not stated · Geographic and time span of the indexed datasets is not stated · Paper links point to external sources whose availability is not guaranteed · Requires uv to be installed; dataset index is downloaded on first run, so first use needs network access · Depends on the upstream Awesome-RS-VL-Data repository being maintained

Licence: MIT
Authentication: No API key required (repository README, auto-extracted; check upstream requirements)
GitHub stars: 5
Last commit: 30/04/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:geochef-mcp
Verification: Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 15/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)