A
licenseA
qualityC
maintenanceEnables AI agents to create, read, edit, and execute Jupyter notebook cells, manage kernels, and connect to remote Jupyter servers.
21
MIT
mcp-server-jupyter
by ihrpr
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TDQS
A3.7/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct operation: reading the full notebook with or without outputs, reading a specific cell's output, executing a cell, adding a cell, and editing a cell. The two read-notebook variants are clearly differentiated by their descriptions and use cases, so there is no real ambiguity.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern (e.g., read_notebook_with_outputs, execute_cell, add_cell). The three read_* variants are slightly longer but still adhere to the same convention, and the overall style is uniform.
Tool Count5/5
With six tools, the server is well-scoped for the purpose of reading, executing, and modifying Jupyter notebooks. The number is neither too thin nor excessive, and each tool covers a distinct aspect of the core workflow.
Completeness4/5
The tool surface covers the primary notebook operations: reading (with/without outputs, specific cell output), executing cells, adding cells, and editing cells. A notable gap is the absence of a delete_cell tool, but this does not critically hinder common workflows and can be worked around by editing cell content.
Maintenance
ActivityInactive
ResponsivenessNo issues