Bridges AI coding agents with running Jupyter kernels, surfacing live variable values, dataframe summaries, recent cells, traceback information, and base64-encoded plot captures rather than raw notebook JSON. Provides approximately ten tools for kernel introspection and cell operations, filling the gap left by cell-operation-only Jupyter MCP servers. Supports two modes: server mode (connects to an existing Jupyter instance) and standalone mode (spawns its own kernel). Implemented in Python; pre-alpha and installed from source.
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 2026-09-01.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.