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mcp · United States

Mobus

Mobus is an MCP server for dataset discovery and research. One connector searches Kaggle, Hugging Face, data.gov, Zenodo, OpenML, NASA, WHO, World Bank, Eurostat, and many other catalogs. Use it to find datasets, inspect metadata, preview rows, build quick charts, check licenses, compare options, and generate citations. All without leaving your chat. www.mobus.ai https://github.com/mobus-ai/Mobus.git

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What's in it

Data offered docs-verified
dataset discovery across Kaggle, Hugging Face, data.gov, Zenodo, OpenML, NASA, WHO, World Bank, Eurostat and other catalogues
Coverage llm-inferred
United States (ENTRY regions); catalogues include WHO, World Bank and Eurostat
Formats llm-inferred
MCP

Useful for

Use cases llm-inferred
Find candidate rainfall or water-quality datasets to support a flood risk assessment baseline · Check licences of open environmental and population datasets before reuse in a client report · Compare WHO and World Bank indicators for a consultancy benchmarking note · Generate citations for datasets cited in a drainage or environmental appraisal
Audience llm-inferred
GIS analysts · hydrologists · environmental consultants

Limitations

Constraints llm-inferred
Listed catalogues are US-tilted per ENTRY regions; UK-specific sources are not named in DOCS · DOCS text is truncated ('View more'), so the full capability list is unverified · Auth and licence are not recorded in ENTRY · Published Apr 30, 2026; maintenance history unknown · Data licences and availability depend on the third-party catalogues accessed
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
14/10/2026
Page health
healthy
Package
npm:@smithery/cli
Verification
Not independently verified

Provenance & evidence

Daily discovery 2026-10-16: Smithery registry API; page returned 200. Install cmd = Smithery CLI pattern; tools not enumerated.

Metadata observed 14/10/2026 · daily-2026-10-16 (smithery-hosted)