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
universal-notebook-mcp
by am-3
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TDQS
A4.2/5.0
Scored across 17 tools
Disambiguation5/5
Each tool targets a distinct operation on notebooks, cells, metadata, or kernels. There is no overlap, and descriptions clearly differentiate purposes (e.g., list_cells vs read_cell, run_all vs run_pipeline).
Naming Consistency5/5
All tools follow the `notebook_verb_noun` pattern consistently. Verbs like delete, edit, insert, list, read, restart, run are used uniformly, making it easy to predict tool behavior from its name.
Tool Count5/5
With 17 tools, the set covers cell manipulation, metadata editing, execution modes, and kernel management without being excessive. Each tool serves a clear purpose, and the count is well-suited to the domain.
Completeness4/5
Core workflows like CRUD for cells, multiple execution modes, and kernel management are covered. However, missing notebook creation (e.g., `notebook_create`) and explicit save/export operations are minor gaps that agents may need to work around.
Maintenance
ActivityInactive
ResponsivenessNo issues