pulsemcp scanned Safe content atomic mcp-remote

Jupyter Notebook

This Jupyter MCP server implementation, developed by Datalayer, provides a bridge between the Model Context Protocol (MCP) and Jupyter environments. It leverages Jupyter's kernel and notebook model clients to enable AI assistants to interact with Jupyter notebooks, execute code, and manipulate notebook content. The server is designed to run in a Docker container, making it easily deployable and scalable. It's particularly useful for data scientists and researchers who want to integrate AI-powered tools into their Jupyter workflows, enabling automated analysis, code generation, and interactive data exploration within notebook environments.

Cognium trust score

62%

Tier

Scanned

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: cloud-infra
Source: PulseMCP
Repository: github.com/datalayer/jupyter-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Jupyter Notebook 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"