ACM MCP Server
An MCP server that automates Aspen Custom Modeler (ACM) via COM, enabling steady-state and dynamic simulations and variable manipulation. It allows users to programmatically manage ACM sessions and interact with .acmf files through standardized tools.
README
ACM MCP Server
An MCP (Model Context Protocol) server that automates Aspen Custom Modeler (ACM) via COM. Designed for use with Claude Code to open .acmf files, run simulations, and read/write variable values programmatically.
Features
- 15 MCP tools for full ACM automation: session management, steady-state and dynamic simulation, variable access, and task control
- Session-based — manage multiple ACM instances
- COM automation via
comtypes(notwin32com, which has known VARIANT issues with ACM) - Comprehensive docs — includes condensed ACM V15 Help (2,227 pages distilled to 10 markdown files)
Requirements
- Windows (COM automation is Windows-only)
- Python 3.10+
- Aspen Custom Modeler V15 installed
- Claude Code (or any MCP-compatible client)
Installation
pip install "mcp[cli]>=1.0.0" "comtypes>=1.4.0"
Setup with Claude Code
Add this to your project's .mcp.json:
{
"mcpServers": {
"acm": {
"command": "python",
"args": ["<path-to>/acm-mcp/server.py"]
}
}
}
Restart Claude Code after first setup to pick up the server.
Tools
Session Tools
| Tool | Description |
|---|---|
open_acm |
Open an .acmf file and create a session |
connect_acm |
Connect to an already-running ACM instance |
close_acm |
Close a session and quit ACM |
list_acm_sessions |
List all active sessions |
Simulation Tools
| Tool | Description |
|---|---|
run_steady_state |
Run steady-state simulation |
run_dynamic |
Run dynamic simulation to a specified end time |
get_simulation_status |
Get current status, DOF, convergence info |
reset_simulation |
Reset to initial conditions |
Variable Tools
| Tool | Description |
|---|---|
get_variable |
Get a variable by dot-notation path (e.g. B1.Tank.h) |
set_variable |
Set a variable's value |
get_variables_bulk |
Get multiple variables at once |
find_variables |
Find variables matching a wildcard pattern |
Task Tools
| Tool | Description |
|---|---|
create_task |
Create a task on the flowsheet |
activate_task |
Activate a task for dynamic simulation |
deactivate_task |
Deactivate a task |
Quick Start
1. open_acm("path/to/model.acmf")
2. run_steady_state("model")
3. get_variable("model", "B1.Tank.h") → "B1.Tank.h = 40.0 [cm] (Free)"
Dynamic step change procedure
To observe transient dynamics after a step change:
run_steady_stateat initial conditionsrun_dynamicto a small time (e.g. 0.001) — locks state variables at old SSset_variableto apply the step changerun_dynamicto successive times, reading variables at each point
Important: Do NOT
set_variablebefore the firstrun_dynamic— ACM re-initializes state variables at the new conditions, producing an instant jump to new SS with no visible transient.
Documentation
Detailed documentation is in docs/:
overview.md— Architecture and design decisionstools.md— Full tool reference with parameters and examplescom-api.md— ACM COM API notes and gotchasError_Logbook.txt— Known ACM errors and fixesacm_help/— Condensed ACM V15 Help system (10 files covering modeling language, solver options, library reference, examples, etc.)
Architecture
server.py # FastMCP entry point, 15 tool registrations
acm_manager.py # COM lifecycle: subprocess launch, GetActiveObject, sessions
tools/
session_tools.py # open, connect, close, list
simulation_tools.py # run steady/dynamic, status, reset
variable_tools.py # get, set, bulk get, find
task_tools.py # create, activate, deactivate
docs/ # Documentation and ACM Help reference
License
MIT
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