F
licenseNot graded
qualityD
maintenanceEnables AI agents to execute Jupyter notebook cells with persistent kernel state, output persistence, and structured JSON control surface.
2
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jupyter-kernel-mcp
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TDQS
A4/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct operation: execution, kernel lifecycle, variable listing, and status. No overlapping functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in lowercase snake_case, e.g., execute_code, reset_kernel.
Tool Count5/5
7 tools is appropriate for managing Jupyter kernels: start, stop, reset, list, status, variable listing, and code execution. Not excessive or sparse.
Completeness4/5
Covers core kernel lifecycle and code execution. Missing features like interrupting a kernel or retrieving execution history, but essential operations are present.
Maintenance
ActivityInactive
ResponsivenessNo issues