Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MARIMO_TOKENNoOptional — only needed if marimo started with token auth

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_notebooksA

List all running marimo notebooks with their paths and ports.

create_notebookA

Create a new marimo notebook at the given absolute path.

Args: path: Absolute path where the .py notebook file will be created.

get_cellsA

Get all cells with their IDs, code, and runtime state.

Args: notebook: Path to the notebook file or port number (e.g. "analysis.py" or "2718").

get_cell_outputsA

Get visual output and console streams for cells.

Args: notebook: Path to the notebook file or port number. cell_ids: List of cell IDs to get outputs for. If empty, returns all cells.

get_errorsB

Get all errors in the notebook, grouped by cell.

Args: notebook: Path to the notebook file or port number.

get_variablesB

Get all variable values and data tables in the notebook.

Args: notebook: Path to the notebook file or port number.

get_depsA

Get the cell dependency graph showing which cells depend on which variables.

Args: notebook: Path to the notebook file or port number. cell_id: Optional cell ID to get deps for a specific cell only.

edit_and_run_cellA

Edit a cell's code and run it. Waits for completion and returns outputs.

This does NOT require --mcp flag or agent mode.

Args: notebook: Path to the notebook file or port number. cell_id: The cell ID to edit (get IDs from get_cells first). code: New Python code for the cell.

delete_cellA

Delete a cell from a running notebook.

Args: notebook: Path to the notebook file or port number. cell_id: The cell ID to delete (get IDs from get_cells first).

add_cellA

Add a new cell to a notebook without executing it.

Args: notebook: Path to the notebook file or port number. code: Content for the new cell. after_cell_id: Insert after this cell ID. If None, appends at end. cell_type: "code" (default) or "markdown". Markdown wraps content in mo.md(...).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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