ol-dwsim-mcp-server 0.1.5

Model Context Protocol server for DWSIM chemical process simulation

DWSIM MCP Server

ol-dwsim-mcp-server lets LLM agents drive DWSIM, the open-source chemical process simulator, through a typed Model Context Protocol interface. It is the Python façade in OntoLedgy's thermodynamics stack: agents (Claude Desktop, VS Code Copilot, Codex CLI, custom orchestrators) call MCP tools such as add_compound, add_unit, connect, run, and flash_tp; the server translates those calls into in-process .NET interop with the DWSIM assemblies via pythonnet, executes the simulation, and returns structured, JSON-friendly results — convergence state, stream conditions, phase compositions, mass-balance checks, and diagnostic messages.

The server exposes 35 tools spanning session lifecycle, flowsheet construction, equation-of-state property packages, equilibrium flashes (TP / PH / PS), and sensitivity / optimisation studies. It enforces per-session memory and timeout limits, emits structured logs and OpenTelemetry traces, and supports optional OAuth (Clerk) when deployed beyond a local workstation. A pre-built DwsimWorker distribution is bundled so beta users can connect without building the C# layer.

Typical use cases: conversational flowsheet authoring, automated parameter sweeps, AI-assisted process design reviews, and integration into agentic chemical-engineering workflows where a planning agent delegates simulation tasks to DWSIM and reasons over the returned results.

Architecture

The MCP server acts as a façade layer that:

• Implements MCP protocol using the official Python SDK
• Exposes DWSIM capabilities as composable MCP tools (35 tools available)
• Uses pythonnet for in-process .NET interop with DWSIM assemblies
• Provides structured logging and observability
• Enforces safety and resource limits

Quick Start

Prerequisites

• Python 3.11+
• .NET Framework 4.8 (Windows)
• DWSIM binaries (see below)
• uv package manager (recommended)

Installation

cd mcp_service/server
uv sync

DWSIM Assemblies

Ensure DWSIM binaries are available:

• Default location: mcp_service/dwsim_worker/dwsim_binaries/x64/Debug
• Override with DWSIM_PATH environment variable

Connecting to AI Assistants

Quick Setup for Beta Testers

If you don't want to build the C# layer, use the pre-built distribution:

cd dwsim_interop_services
.\prebuilt\setup.ps1

See prebuilt/README.md for details.

Option A: VS Code Copilot (settings.json)

Add to your VS Code settings.json (Ctrl+, → Open Settings JSON):

{
  "github.copilot.chat.mcpServers": {
    "dwsim": {
      "command": "uv",
      "args": ["run", "dwsim-mcp"],
      "cwd": "C:\\path\\to\\dwsim_interop_services\\mcp_service\\server",
      "env": {
        "PYTHONPATH": "C:\\path\\to\\dwsim_interop_services"
      }
    }
  }
}

Option B: VS Code Copilot (mcp.json)

Create/edit %APPDATA%\Code\User\mcp.json:

{
  "servers": {
    "dwsim": {
      "command": "uv",
      "args": ["run", "dwsim-mcp"],
      "cwd": "C:\\path\\to\\dwsim_interop_services\\mcp_service\\server",
      "env": {
        "PYTHONPATH": "C:\\path\\to\\dwsim_interop_services"
      }
    }
  }
}

Option C: Claude Desktop

Edit %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "dwsim": {
      "command": "uv",
      "args": ["run", "dwsim-mcp"],
      "cwd": "C:\\path\\to\\dwsim_interop_services\\mcp_service\\server",
      "env": {
        "PYTHONPATH": "C:\\path\\to\\dwsim_interop_services"
      }
    }
  }
}

Option D: OpenAI Codex CLI

Edit %USERPROFILE%\.codex\config.json:

{
  "mcpServers": {
    "dwsim": {
      "command": "uv",
      "args": ["run", "dwsim-mcp"],
      "cwd": "C:\\path\\to\\dwsim_interop_services\\mcp_service\\server",
      "env": {
        "PYTHONPATH": "C:\\path\\to\\dwsim_interop_services"
      }
    }
  }
}

Then run: codex --mcp

Verification

After configuration:

1. Reload/Restart your AI assistant
2. Ask: "What DWSIM tools do you have available?"
3. You should see 35 tools listed

For detailed instructions, see docs/resources/getting-started.md

Running Manually (for testing)

cd C:\path\to\dwsim_interop_services\mcp_service\server
$env:PYTHONPATH = "C:\path\to\dwsim_interop_services"
uv run dwsim-mcp

Configuration

Create a .env file or set environment variables:

# Worker connection
DWSIM_WORKER_PIPE_NAME=dwsim_worker_pipe
DWSIM_WORKER_STARTUP_TIMEOUT=30

# Resource limits
DWSIM_MAX_SESSIONS=10
DWSIM_SESSION_TIMEOUT=3600
DWSIM_OPERATION_TIMEOUT=300
DWSIM_MEMORY_LIMIT_MB=2048
DWSIM_MEMORY_POLL_INTERVAL_SECONDS=2
DWSIM_MEMORY_RECOVERY_RATIO=0.9

# Logging
LOG_LEVEL=INFO
LOG_FORMAT=json

Authentication

OAuth authentication is optional. By default, the server runs without auth (DWSIM_AUTH_ENABLED=false). For local development, keep auth disabled.

To enable OAuth with Clerk, configure the Clerk issuer, audience, and scopes. See the setup guide: docs/mcp/clerk-oauth-setup.md.

Minimal example:

DWSIM_AUTH_ENABLED=true
CLERK_ISSUER_URL=https://<your-tenant>.clerk.accounts.dev
CLERK_AUDIENCE=dwsim-mcp
CLERK_REQUIRED_SCOPES=user

Usage

Starting the MCP Server

# Using Poetry
poetry run dwsim-mcp

# Using Python module
python -m dwsim_mcp_server

# With custom config
python -m dwsim_mcp_server --config config.yaml

Using as a Library

from dwsim_mcp_server import MCPServer

async def main():
    server = MCPServer()
    await server.start()

if __name__ == "__main__":
    import asyncio
    asyncio.run(main())

Development

Running Tests

# All tests
pytest

# With coverage
pytest --cov=dwsim_mcp_server --cov-report=html

# Specific test file
pytest tests/unit/test_session.py

# Fuller run (includes smoke; requires DwsimWorker.dll built in Debug)
pytest tests/smoke tests/unit tests/integration

Code Quality

# Format code
black dwsim_mcp_server tests

# Lint
ruff check dwsim_mcp_server tests

# Type checking
mypy dwsim_mcp_server

Project Structure

server/
├── dwsim_mcp_server/        # Main Python package
│   ├── server.py            # MCP server bootstrap
│   ├── tools/               # MCP tool implementations
│   ├── resources/           # MCP resource providers
│   ├── ipc/                 # IPC client for worker communication
│   ├── converters/          # Model converters
│   ├── config/              # Configuration management
│   └── observability/       # Logging, tracing, metrics
├── tests/                   # Test suite
├── pyproject.toml           # Poetry configuration
└── requirements.txt         # Pip dependencies

Available MCP Tools

Session Management

• create_session - Create a new DWSIM simulation session
• close_session - Close and cleanup a session
• save_case - Save session to DWSIM file
• load_case - Load existing DWSIM file

Flowsheet Building

• add_compound - Add chemical compound to simulation
• set_property_package - Configure thermodynamic property package
• add_stream - Add material or energy stream
• add_unit - Add unit operation (mixer, separator, reactor, etc.)
• connect - Connect streams to unit operations

Simulation

• run - Execute flowsheet simulation
• get_status - Check simulation status
• get_results - Retrieve simulation results

Simulation Tools Details

run

Execute a simulation for the session and return convergence details and stream properties.

Input:

{
  "session_id": "session-1234",
  "timeout_seconds": 120
}

Output:

{
  "status": "converged",
  "convergence_state": "Converged",
  "elapsed_ms": 1250.0,
  "stream_results": [
    {
      "id": "stream-001",
      "name": "Vapor Outlet",
      "temperature_k": 350.0,
      "pressure_pa": 101325.0,
      "total_molar_flow_mol_per_s": 10.5,
      "phases": []
    }
  ],
  "messages": ["Calculation converged successfully."],
  "mass_balance_valid": true,
  "mass_balance_error_percent": 0.4
}

get_status

Retrieve the latest simulation status for a session.

Input:

{
  "session_id": "session-1234"
}

Output:

{
  "status": "running",
  "is_running": true,
  "last_run_timestamp": "2024-12-19T20:30:00Z",
  "elapsed_ms": 450.0
}

get_results

Retrieve cached results from the most recent run. Use object_id to request a single stream.

Input:

{
  "session_id": "session-1234",
  "object_id": "stream-001"
}

Output:

{
  "status": "converged",
  "convergence_state": "Converged",
  "elapsed_ms": 1250.0,
  "stream_results": [
    {
      "id": "stream-001",
      "name": "Vapor Outlet",
      "temperature_k": 350.0,
      "pressure_pa": 101325.0,
      "total_molar_flow_mol_per_s": 10.5,
      "phases": []
    }
  ],
  "messages": [],
  "mass_balance_valid": true,
  "mass_balance_error_percent": 0.4
}

Simulation Workflow Example

{"tool": "create_session", "arguments": {"name": "Separator Run"}}
{"tool": "add_compound", "arguments": {"session_id": "session-1234", "compound_name": "Water"}}
{"tool": "set_property_package", "arguments": {"session_id": "session-1234", "package_name": "peng-robinson", "options": {}}}
{"tool": "add_stream", "arguments": {"session_id": "session-1234", "name": "feed", "temperature": 298.15, "pressure": 101325.0, "molar_flow": 10.0, "composition": {"Water": 1.0}}}
{"tool": "add_unit", "arguments": {"session_id": "session-1234", "unit_type": "separator", "name": "sep-01", "parameters": {}}}
{"tool": "connect", "arguments": {"session_id": "session-1234", "source_id": "stream-001", "target_id": "unit-001", "port_name": "Inlet"}}
{"tool": "run", "arguments": {"session_id": "session-1234", "timeout_seconds": 120}}
{"tool": "get_status", "arguments": {"session_id": "session-1234"}}
{"tool": "get_results", "arguments": {"session_id": "session-1234"}}

Simulation Error Codes

Simulation tools return structured error payloads when operations fail:

• CONVERGENCE_FAILURE - Solver did not converge
• SIMULATION_TIMEOUT - Calculation exceeded timeout
• INVALID_FLOWSHEET_STATE - Missing or invalid flowsheet topology
• NO_RESULTS_AVAILABLE - Results requested before a successful run
• RESOURCE_LIMIT_EXCEEDED - Memory or resource cap exceeded
• SESSION_EXPIRED - Session lifetime exceeded

Thermodynamics

• flash_tp - Flash calculation at temperature and pressure
• flash_ph - Flash at pressure and enthalpy
• flash_ps - Flash at pressure and entropy

Analysis

• sensitivity_analysis - Perform sensitivity study
• optimization - Optimize process variables

Troubleshooting

Worker Connection Issues

If the server cannot connect to the .NET worker:

1. Ensure the worker is running: DwsimWorker.exe
2. Check the pipe name matches in both server and worker configs
3. Verify Named Pipes are available (Windows) or use TCP fallback

Import Errors

# Ensure all dependencies are installed
pip install -r requirements.txt

# Verify PYTHONPATH includes project root
export PYTHONPATH="${PYTHONPATH}:$(pwd)"

Performance Issues

• Adjust DWSIM_OPERATION_TIMEOUT for complex simulations
• Increase DWSIM_MAX_SESSIONS if running concurrent simulations
• Enable worker process pooling in config

Simulation Troubleshooting

• If run returns INVALID_FLOWSHEET_STATE, ensure at least one unit operation exists and streams are connected.
• If get_results returns NO_RESULTS_AVAILABLE, run a simulation first and verify it converged.
• If SIMULATION_TIMEOUT occurs, increase timeout_seconds for the run tool or adjust DWSIM_OPERATION_TIMEOUT.

License

GPLv3 - See LICENSE file for details.