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Alternatives to marimo-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Exposes Jupyter notebook operations as MCP tools over plain HTTP, allowing AI agents to explore, edit, run, and debug notebooks in a live VS Code session using local or remote kernels.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables external agents to run, edit, create, and manage the Jupyter notebook the user is actively editing in VS Code, headlessly and without approval dialogs. Works with any MCP client and is Jupyter-optional for document operations.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that gives any MCP-compatible LLM client full control over a live JupyterLab instance.
      MIT

    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct operation: notebook creation, cell manipulation (add, delete, edit/run), and retrieval of cells, outputs, deps, errors, variables, and running notebooks. No functional overlap.

    Naming Consistency5/5

    All tool names follow a clear verb_noun pattern in snake_case (e.g., `create_notebook`, `get_cells`). Minor length variation does not break consistency.

    Tool Count5/5

    10 tools cover the essential CRUD and inspection workflows for marimo notebooks. The count is well-scoped for a focused MCP server.

    Completeness4/5

    The set covers core notebook lifecycle (create, list, add/delete/edit/run cells) and introspection (cells, outputs, errors, dependencies, variables). Missing operations like save, rename, or reorder cells, but not critical for typical agent tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues