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Arraylake MCP Server

Browse Arraylake repos, inspect schemas, run OGC EDR queries & render maps over Zarr/Icechunk scientific arrays

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What's in it

Data offered docs-verified
organisation and repository listing · repo group/array tree walk · xarray schema inspection · commit history and diffs · OGC EDR position, area and cube queries · live pan/zoom map rendering · Compute tile URL minting · Arraylake agent skills
Formats docs-verified
MCP streamable HTTP
Access docs-verified
Arraylake account sign-in via MCP OAuth 2.1, or an Arraylake API token (ema_ prefix) as a bearer header. Results are limited to the permissions of the token-holder; Compute queries need CAN_READ_WITH_FLUX on the repo. Licence and pricing not stated.

Useful for

Use cases llm-inferred
Query gridded data over a catchment polygon via an EDR area query to supply rainfall or climate inputs to an FRA or drainage model · Inspect xarray schema and commit history of a shared repo before reusing its variables in a hydrology workflow · Render a quick interactive map of a gridded variable for a client briefing or internal review · Mint Compute tile URLs to add a site-specific raster layer to an internal GIS app
Audience llm-inferred
GIS analysts · hydrologists · flood consultants · data scientists

Limitations

Constraints docs-verified
No tools for server-side Python execution · Early access and under active development · Only repos the token can read are visible; Compute queries need CAN_READ_WITH_FLUX · Log access (get_service_logs) requires org admin · No licence or pricing stated in docs
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
Not recorded
Verification
Not independently verified

Provenance & evidence

Verified 2026-10-15 via curl (HTTP 200). Listed in sparkgeo/geo-mcp-servers.

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