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jupyter-kernel-mcp

by qtalen
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Tools have mostly distinct purposes, but 'execute_cell' and 'execute_code' could confuse agents due to similar names despite different contexts. Other tools are clearly separated.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (e.g., delete_cell, insert_cell), but 'connect_to_jupyter' and 'edit_cell_source' deviate slightly. Overall consistent.

    Tool Count5/5

    9 tools is well-scoped for a Jupyter kernel server, covering connection, notebook management, cell operations, and code execution without excess.

    Completeness3/5

    Covers core CRUD for cells and execution, but missing kernel management tools like restart or interrupt, and no explicit save/close functionality.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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