pymapdl-cli

name	pymapdl-cli
description	How to use the PyMAPDL command-line interface to start, stop, list, and execute commands on MAPDL instances from a terminal. Use this skill whenever the user wants to control MAPDL from the command line, run APDL commands via the shell, manage running MAPDL processes, script MAPDL workflows without writing Python, or pipe APDL into a running solver — even if they don't explicitly say "CLI".

PyMAPDL CLI

The pymapdl CLI lets you manage MAPDL instances and execute APDL commands directly from the terminal. It is installed automatically with the ansys-mapdl-core Python package and requires the click dependency (included by default).

A typical session looks like this:

pymapdl start                          # launch a solver instance
pymapdl exec -c /prep7 -c "K,1,0,0,0" # send commands to it
pymapdl exec --file model.inp          # or send a whole script
pymapdl stop                           # shut it down

All commands print human-readable output to stdout and errors to stderr. Exit code is 0 on success, 1 on failure.

Commands at a glance

Command	Purpose
pymapdl start	Launch a new local MAPDL instance
pymapdl stop	Kill one or all running instances
pymapdl list	Show running MAPDL processes
pymapdl exec	Send APDL commands to a running instance
pymapdl convert	Translate an APDL script to Python

---

pymapdl start

Launch a new MAPDL gRPC server. Prints the IP, port, and PID on success.

pymapdl start [OPTIONS]

Key options

Option	Default	Description
--port	50052 (or PYMAPDL_PORT)	gRPC port; first available port at or after this value
--exec_file	auto-detected	Path to the MAPDL executable
--run_location	temp dir	Working directory for the MAPDL process
--jobname	file	MAPDL jobname
--nproc	2	Number of processors
--ram	all available	Fixed memory in MB
--override	off	Delete stale lock files before starting
--additional_switches	none	Extra MAPDL command-line switches (e.g. aa_r for academic license)
--start_timeout	45	Seconds to wait for the server to become ready
--license_type	none	License name (e.g. meba, ansys) or description (e.g. enterprise)
--version	latest	MAPDL version to launch (e.g. 241, 24.1)

Example — start on a custom port with 4 CPUs:

pymapdl start --port 50055 --nproc 4
# Success: Launched an MAPDL instance (PID=12345) at 127.0.0.1:50055

---

pymapdl stop

Stop running MAPDL instances. By default targets port 50052.

pymapdl stop [OPTIONS]

Options

Option	Description
--port PORT	Stop instances listening on this port
--pid PID	Stop the process (and its children) with this PID
--all	Stop every MAPDL instance on the machine

Examples:

pymapdl stop                  # stop instance on default port 50052
pymapdl stop --port 50055     # stop instance on port 50055
pymapdl stop --pid 12345      # stop a specific process tree
pymapdl stop --all            # stop all MAPDL processes

---

pymapdl list

List MAPDL processes currently running on the machine.

pymapdl list [OPTIONS]

Options

Option	Short	Description
--instances	-i	Show only parent instances (hide child processes)
--long	-l	Show all columns (command line + working directory)
--cmd	-c	Include the command-line column
--location	-cwd	Include the working-directory column

Example:

pymapdl list -i
# Name          Status    gRPC port    PID
# ANSYS241.exe  running       50052  41644

---

pymapdl exec

Send APDL commands to an already running MAPDL instance and print the solver output. This command never starts a new instance — use pymapdl start first.

pymapdl exec [OPTIONS] [-]

Three input modes (mutually exclusive)

1. Repeated -c / --command (recommended for scripting and LLM use):

   pymapdl exec -c /prep7 -c "BLOCK,0,1,0,1,0,1" -c SAVE
   

   Each -c value is one APDL command. They are joined with newlines and sent as a single input_strings() block for maximum performance.

2. File with --file / -f:

   pymapdl exec --file model.inp
   

3. Stdin by passing - as a positional argument:

   # Linux / macOS
   cat model.inp | pymapdl exec -
   
   # Windows PowerShell
   Get-Content model.inp | pymapdl exec -
   

Options

Option	Short	Default	Description
--command	-c	—	APDL command (repeatable)
--file	-f	—	Path to an APDL script file
--port	—	50052 (or PYMAPDL_PORT)	gRPC port of the target instance
--ip	—	127.0.0.1 (or PYMAPDL_IP)	IP of the target instance
--timeout	—	10	Connection timeout in seconds
--clear-on-connect	—	off	Clear MAPDL database before sending commands

Behavior notes

• Successive calls share state. Because --clear-on-connect is off by default, you can split a workflow across multiple pymapdl exec invocations and the model/mesh/results persist between them.
• Output goes to stdout, errors to stderr — ideal for piping, logging, or LLM consumption.
• Windows paths are safe. Backslash sequences like C:\new\file are preserved verbatim; no mangling occurs.

---

pymapdl convert

Convert an APDL script to a PyMAPDL Python script.

pymapdl convert [OPTIONS]

Key options

Option	Short	Default	Description
--file	-f	stdin	APDL input file
--output	-o	stdout	Output Python file
--macros_as_functions	-mf	True	Convert macros to Python functions
--use_function_names	-fn	True	Use method names (mapdl.k) instead of mapdl.run('K')
--only_commands	-oc	off	Emit only MAPDL calls (no imports/header/exit)
--add_imports	-ai	True	Add launch_mapdl() boilerplate
--comment_solve	-cs	off	Comment out SOLVE / /EOF lines

Example:

pymapdl convert -f model.inp -o model.py

---

Environment variables

Variable	Used by	Purpose
PYMAPDL_PORT	start, exec	Default gRPC port when --port is omitted
PYMAPDL_IP	exec	Default IP when --ip is omitted
PYMAPDL_MAPDL_EXEC	start	Path to MAPDL executable

---

Common workflows

Interactive modeling session

pymapdl start --port 50055
pymapdl exec --port 50055 -c /prep7
pymapdl exec --port 50055 -c "ET,1,186" -c "BLOCK,0,1,0,1,0,1" -c "VMESH,ALL"
pymapdl exec --port 50055 --file boundary_conditions.inp
pymapdl exec --port 50055 -c /solu -c SOLVE
pymapdl stop --port 50055

Run a full script in one shot

pymapdl start
pymapdl exec --file full_model.inp
pymapdl stop

Pipe commands from another tool

# Generate APDL dynamically and pipe it in
python generate_mesh.py | pymapdl exec -

Fresh database each time

pymapdl exec --clear-on-connect -c /prep7 -c "K,1,0,0,0"