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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
create_modelB

Create a new Stella model with specified time settings

build_modelA

Create and populate a model in one call: sim specs, stocks, auxiliaries, flows, connectors, and modules. All-or-nothing — on any item error nothing is registered and the error names the failing item (stage + index). Connector sync and validation run by default, so the response doubles as an inspection.

add_variablesA

Add multiple stocks, auxiliaries, flows, connectors, and/or modules to an existing model in one call. All-or-nothing — on any item error the model is left unchanged and the error names the failing item (stage + index).

set_sim_specsB

Update simulation time settings on an existing model

add_stockA

Add a stock (reservoir) to the current model

update_stockA

Update stock fields while preserving relationships

add_flowC

Add a flow between stocks in the current model

update_flowA

Update flow fields while preserving structural stock links

add_auxB

Add an auxiliary variable (parameter or intermediate calculation) to the current model

update_auxC

Update auxiliary variable fields

add_connectorA

Add a connector (dependency arrow) between variables

sync_connectors_from_equationsA

Add missing dependency connectors inferred from flow and auxiliary equations

set_connector_routingA

Set connector angle and/or explicit routing waypoints

rename_variableA

Rename a stock/flow/aux and update dependent references

delete_variableA

Delete a stock/flow/aux and clean connectors/module membership

create_moduleA

Create a logical module/group for organizing variables

add_to_moduleC

Add variables to an existing module

remove_from_moduleA

Remove variables from an existing module

rename_moduleC

Rename an existing module

delete_moduleB

Delete a module

set_module_viewB

Set explicit view box geometry for a module

set_module_styleA

Set module box visual style in the diagram view

auto_place_module_boxesC

Auto-place module view boxes around their member variables

save_modelA

Save the current model to a .stmx file

render_diagramA

Render the current model as an SVG stock-and-flow diagram. The SVG is returned inline (for clients without file access) and optionally written to a file. Defaults to running auto-layout first so freshly built models render sensibly.

read_modelA

Read an existing .stmx file and load it as the current model

list_templatesA

List built-in and user-defined templates

get_template_infoA

Get detailed metadata for one template

load_templateA

Load a template into the current session as a model

save_as_templateA

Save the current model as a user-defined template

simulateA

Run the model and return downsampled time series with per-variable summaries (initial/final/min/max). Requires the optional pysd dependency (pip install 'stella-mcp[sim]'). Integration is Euler regardless of the model's method setting.

compare_scenariosA

Run several named what-if scenarios (each a set of constant parameter overrides) against a baseline and report how each diverges: per-variable final/max absolute deltas and final percent change. Requires the optional pysd dependency (pip install 'stella-mcp[sim]').

sensitivity_analysisA

One-at-a-time sensitivity: sweep each parameter across a range (holding the others at their baseline) and report how one chosen output metric responds, with a range slope and a baseline-normalized elasticity for ranking. Requires the optional pysd dependency (pip install 'stella-mcp[sim]').

calibrateA

Fit constant model parameters to an observed time-series — the inverse of simulate. Only constant auxiliaries/flows can be calibrated (stocks are rejected: overriding a stock pins it to a constant rather than setting its initial value). least_squares (default) reports a linearized std_error; differential_evolution is a global, seeded alternative requiring bounds. Observation times must lie within the model window (no extrapolation). Requires the optional pysd dependency (pip install 'stella-mcp[sim]').

list_modelsA

List all model IDs available in the current session

delete_modelA

Remove a model from the current session. Saved .stmx files are not touched. model_id is required — there is deliberately no implicit 'delete current model'.

inspect_modelA

Return a structured summary of the current model for agent inspection

list_modulesB

List modules/groups in the current model

list_connectorsA

List connector metadata (uid, endpoints, angle, routing lock/points)

validate_modelA

Validate the current model for errors and warnings

list_variablesA

List all variables (stocks, flows, auxiliaries) in the current model

get_model_xmlA

Get the XMILE XML representation of the current model (for preview)

create_workspaceA

Create an isolated application workspace for stateful Stella tool calls. The returned ID routes state and is not an authorization credential.

revoke_workspaceA

Revoke a workspace and discard all models stored in it.

Prompts

Interactive templates invoked by user choice

NameDescription
build-stella-modelGuide an agent through building, validating, and saving a Stella model.

Resources

Contextual data attached and managed by the client

NameDescription
carbon_cycle_2boxTwo-box carbon exchange between atmosphere and ocean reservoirs.
exponential_growthSingle-stock reinforcing loop with constant fractional growth.
lotka_volterraPredator-prey oscillation model with coupled nonlinear feedbacks.
nutrient_box_2boxTwo-box nutrient transport and exchange example for ocean systems.
sirClassic susceptible-infected-recovered epidemic dynamics.

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