mcp · Global

Scigantic MCP

Cross-domain scientific dataset catalog and schema cards (genomics, proteomics, imaging, and a large Earth-observation/geospatial footprint), with per-dataset access snippets for agents

Visit source ↗GitHub repository ↗

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What's in it

Data offered docs-verified: Catalogue of public scientific data archives (5,000+), with schema cards · Per-dataset file listings and data-access code snippets · SureChEMBL patent chemistry (compounds, patents, extracted structures) · Earth-observation/geospatial archives (per ENTRY description, not DOCS)
Coverage llm-inferred: Global
Formats docs-verified: MCP stdio · MCP HTTP
Access docs-verified: No API key; public read-only endpoints; licence MIT-0

Useful for

Use cases llm-inferred: Desk-study discovery of public geospatial datasets before procurement or download · Schema-first triage of an archive via its schema card before pulling data · Generating load code for a public dataset to run in the consultancy's own analysis environment
Audience llm-inferred: GIS analysts · hydrologists · ecologists · data scientists

Limitations

Constraints docs-verified: Upstream REST API is unversioned and may change without notice; pin a tested version · Discovery only: hosted compute is not exposed, so analysis runs in the caller's environment · Earth-observation coverage depth is not described in DOCS and is unverified · Requires Python 3.10+ and MCP SDK 2.x for the stdio package

Licence: MIT-0
Authentication: No API key required (repository README, auto-extracted; check upstream requirements)
GitHub stars: 1
Last commit: 09/09/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:scigantic-mcp
Verification: Not independently verified

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

Provenance & evidence

Verified via GitHub API (2026-10-15). Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (sparkgeo/geo-mcp-servers)