F
licenseNot graded
qualityD
maintenanceEnables AI agents to safely and structurally edit Jupyter Notebook (.ipynb) files by providing tools to read, edit, add, and delete cells without corrupting the JSON structure.
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MCP Jupyter Server
by azharlabs
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TDQS
B3.2/5.0
Scored across 13 tools
Disambiguation3/5
Most tools have distinct purposes for cell operations, but there is notable overlap between 'edit_cell' and 'edit_cell_source' which both edit cell source code, and between 'add_cell' and 'insert_cell' which both add cells. This could cause confusion for an agent trying to select the right tool.
Naming Consistency4/5
Tool names follow a consistent verb_noun pattern (e.g., add_cell, delete_cell, execute_cell) with clear actions and targets. The only deviation is 'read_notebook_with_outputs' which is longer but still follows the pattern, and 'trigger_vscode_reload' which uses a verb_noun_noun structure but remains readable.
Tool Count5/5
With 13 tools, this server is well-scoped for managing Jupyter notebooks, covering a comprehensive set of operations like adding, editing, executing, and listing cells. Each tool appears to serve a specific function without unnecessary bloat.
Completeness4/5
The toolset provides strong coverage for cell-level operations (CRUD, execution, type conversion) and notebook reading, but lacks tools for higher-level notebook management such as saving, creating new notebooks, or kernel control. Minor gaps exist, but agents can likely work around them.
Maintenance
ActivityInactive
ResponsivenessNo issues