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Jupyter Earth Data

Jupyter Earth MCP Server provides a bridge between AI assistants and Jupyter notebooks for Earth science data analysis. Developed by Datalayer, this Python-based server enables downloading NASA Earth Data granules directly into Jupyter notebooks through a simple interface. The implementation leverages jupyter-kernel-client and jupyter-nbmodel-client to programmatically create and execute code cells in notebooks, allowing for parameterized data retrieval with options for temporal ranges and geographic bounding boxes. It's particularly useful for Earth scientists and researchers who need to automate the acquisition of satellite data and integrate it seamlessly into their Jupyter-based analysis workflows.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/datalayer/jupyter-earth-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Jupyter Earth Data from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"