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Jupyter MCP Server

by ChengJiale150
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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

    A3.7/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose. For example, append_execute_code_cell versus execute_cell differ in that one creates a new cell before executing, while execute_cell runs an existing one. execute_temporary_code is separate for temporary code. All other tools operate on different aspects (connect, list, read, write, delete, etc.), leaving no ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, such as connect_notebook, list_cell, overwrite_cell, restart_notebook. The compound verb in append_execute_code_cell is still systematic and matches the pattern.

    Tool Count5/5

    With 12 tools, the set is well-scoped for a Jupyter notebook interaction server. Each tool serves a distinct operation (connect, list, read, write, execute, etc.) without unnecessary duplication or excessive granularity.

    Completeness4/5

    The tools cover core workflows: connecting, listing, reading, executing, inserting, deleting, overwriting cells, and restarting kernels. Minor gaps exist, such as no explicit save tool or ability to create a new notebook, but these are non-critical for typical agent interactions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources