Ansys Server
БесплатноНе проверенEnables Claude Code to control Ansys engineering simulations (CFD, FEA, meshing, post-processing) through natural language commands via PyAnsys.
Описание
Enables Claude Code to control Ansys engineering simulations (CFD, FEA, meshing, post-processing) through natural language commands via PyAnsys.
README
Ansys MCP Server
Python 3.10+ MCP Registry License: MIT MCP
Give Claude Code CLI direct control over Ansys engineering simulations.
This MCP (Model Context Protocol) server wraps PyAnsys into 30 tools that Claude Code can call — run CFD in Fluent, crush FEA in Mechanical, drive MAPDL, post-process with DPF, and mesh with Prime. The AI understands the full simulation pipeline across products: load geometry → mesh → set materials → apply BCs → solve → post-process → export. It knows which tool to call next, and it can reason across CFD, FEA, thermal, and FSI workflows.
No more clicking through Workbench. Just describe what you want in plain language.
🎯 What makes this different: It's not a chatbot wrapper, not a documentation scraper. It gives Claude Code real, programmatic access to the Ansys solver process — the same API that PyAnsys uses internally. On a machine with Ansys installed and licensed, it actually launches and controls the solvers. The solver window stays open — you watch mesh generation, convergence plots, and field data render in real time.
🎬 Quick Demo
User: "Simulate water flow in a 10cm pipe, 2m long, inlet velocity 5 m/s, steel walls, 300K"
Claude Code (via Ansys MCP):
1. ansys_list_workflows("cfd") ← understands which workflow to use
2. ansys_open_gui(solver="fluent") ← opens Fluent GUI (one persistent window)
3. ansys_load_geometry("pipe.stp") ← loads CAD → visible in Fluent window
4. ansys_mesh_generate(element_size=0.5) ← mesh builds in real-time on screen
5. ansys_set_material("fluid", "water") ← material colors update in GUI
6. ansys_set_material("solid", "steel")
7. ansys_set_boundary_conditions(...) ← inlets, outlets highlighted on mesh
8. ansys_set_parameters({"viscous_model": "k-epsilon"})
9. ansys_run_simulation(iterations=500) ← convergence plot updates live
10. ansys_get_convergence() ← residual history
11. ansys_get_field_data("velocity") ← probe points
12. ansys_export_results(...) ← CSV/VTK for ParaView
All from one sentence. No scripting, no TUI commands, no Workbench clicking. The AI knows the sequence.
🚀 Installation (2 minutes)
Prerequisites
- Python 3.10+
- Ansys installed and licensed (Fluent, Mechanical, or MAPDL)
- Claude Code CLI
Option 1: One-command installer
# Clone
git clone https://github.com/vorobjewsen30-max/ansys-mcp-server.git
cd ansys-mcp-server
# Install + configure Claude Code automatically
./install.sh # Linux / Mac
# install.bat # Windows
The installer:
- Creates a
.venvvirtual environment - Installs
mcpSDK - Optionally installs PyAnsys packages (
./install.sh install-allfor everything) - Writes Claude Code config to
~/.claude/settings.json
Non-fatal errors: If PyAnsys packages fail to install (no internet, missing build tools, etc.), the installer continues with a warning. The server works without them — you can install pip install ansys-fluent-core later.
Upgrade without touching Claude config
# Pull latest code + upgrade packages, keep ~/.claude/settings.json intact
./install.sh --upgrade
install.bat --upgrade # Windows
Option 2: Manual
# 1. Create venv
python3 -m venv .venv && source .venv/bin/activate
# 2. Install MCP SDK
pip install mcp
# 3. Install PyAnsys for your product(s)
pip install ansys-fluent-core # CFD
pip install ansys-mapdl-core # Structural / APDL
pip install ansys-dpf-core # Post-processing
pip install ansys-meshing-prime # Meshing
# 4. Configure Claude Code CLI (~/.claude/settings.json)
{
"mcpServers": {
"ansys": {
"command": "/path/to/ansys-mcp-server/.venv/bin/python",
"args": ["-m", "ansys_mcp_server.server"],
"cwd": "/path/to/ansys-mcp-server/src"
}
}
}
# 5. Restart Claude Code CLI — done!
Option 3: pip install
pip install git+https://github.com/vorobjewsen30-max/ansys-mcp-server.git
# Then add to Claude Code config:
# "command": "ansys-mcp-server"
🧰 Tools (30 total)
🚀 Simulation Management (NEW — persistent GUI)
| Tool | What it does |
|---|---|
ansys_open_gui |
Launch Ansys Fluent GUI once. All subsequent commands render in this same window. Watch mesh, convergence, and results in real-time. |
ansys_session_status |
Show current session: PID, solver, uptime, commands sent |
ansys_close_session |
Close the Ansys window and end the session |
ansys_connect |
Attach to an already-running Ansys window (auto-detected via psutil) |
ansys_send_commands |
Send raw TUI/Scheme commands to the active Fluent window |
ansys_list_packages |
Check which PyAnsys packages are installed |
🔧 Mesh Operations
| Tool | What it does |
|---|---|
ansys_mesh_info |
Get mesh statistics (nodes, elements, quality) from the active window |
ansys_mesh_generate |
Generate mesh from loaded geometry. Step 2 in the pipeline. Mesh renders in real-time. |
ansys_mesh_refine |
Refine mesh globally, by boundary, or by region |
ansys_mesh_quality |
Run quality diagnostics (skewness, aspect ratio, orthogonal quality) |
⚙️ Model Configuration
| Tool | What it does |
|---|---|
ansys_set_parameters |
Set solver settings, models, turbulence schemes |
ansys_get_parameters |
Read current simulation parameters |
ansys_set_boundary_conditions |
Create/modify BCs (velocity-inlet, pressure-outlet, wall, symmetry, etc.) |
ansys_list_boundary_conditions |
List all BCs in the model |
ansys_set_material |
Assign materials from library or custom properties |
ansys_list_materials |
Browse Ansys material library |
🚀 Run & Monitor
| Tool | What it does |
|---|---|
ansys_run_simulation |
Start calculation in the active window. Convergence plot updates iteration by iteration. |
ansys_get_convergence |
Get residual history (live) |
ansys_stop_simulation |
Stop a running calculation |
📊 Results Processing
| Tool | What it does |
|---|---|
ansys_get_results_summary |
List all available result fields in the active window |
ansys_get_field_data |
Extract field data at probe points (velocity, pressure, temperature, stress...) |
ansys_export_results |
Export to CSV / VTK / HDF5 / NPZ |
ansys_create_report |
Auto-generate simulation report (MD/HTML/PDF) |
🔄 Cross-Product Workflow (NEW)
| Tool | What it does |
|---|---|
ansys_list_workflows |
Use this first. Lists full simulation pipelines: CFD, FEA, Thermal, FSI. Tells you exactly which tools to call in which order. |
ansys_transfer_mesh |
Transfer mesh between Ansys products: Prime → Fluent, Fluent → Mechanical, MAPDL → DPF, etc. |
📖 Help & Documentation
| Tool | What it does |
|---|---|
ansys_get_documentation |
Search Ansys documentation |
ansys_list_solvers |
Catalog of solvers with pipeline awareness — shows what to do before and after each solver |
ansys_validate_setup |
Check setup for common errors before running |
ansys_examples |
Get complete worked examples (pipe flow, heat exchanger, wing aero, structural) |
🔄 Workflow-aware AI
The LLM doesn't just call random tools — it understands the engineering pipeline.
When you say "Run a CFD analysis on this pipe", the AI knows:
- First: load geometry (
ansys_load_geometry— "FIRST STEP") - Then: generate mesh (
ansys_mesh_generate— "SECOND STEP") - Then: materials, BCs, solver settings
- Then: solve, monitor convergence
- Finally: export results
When you say "Fluid-structure interaction on a valve", the AI knows:
- CFD in Fluent → export pressures → FEA in Mechanical → map results back
- It calls
ansys_list_workflows("fsi")to get the full pipeline step-by-step
When you say "How do I set up a thermal analysis?", the AI calls ansys_list_workflows("thermal") and shows you the pipeline.
The tool descriptions are written with pipeline context — every tool knows what comes before and after it.
📦 Supported Ansys Products
| Product | PyAnsys Package | What it does |
|---|---|---|
| Fluent | ansys-fluent-core |
CFD — fluids, heat transfer, turbulence, multiphase |
| Mechanical | ansys-mechanical-core |
FEA — structural, thermal, modal, contact |
| MAPDL | ansys-mapdl-core |
Classic APDL — full FEA + electromagnetics |
| DPF | ansys-dpf-core |
Post-processing — extract/transform result data |
| Prime Mesh | ansys-meshing-prime |
Meshing — tetra, hexcore, poly, boundary layers |
Install what you need:
pip install ansys-fluent-core # Fluent only
pip install ansys-mapdl-core # MAPDL only
pip install ansys-fluent-core ansys-dpf-core ansys-meshing-prime # Multiple
🔐 License
The MCP server does not handle licensing directly. PyAnsys picks up your Ansys license automatically from the standard environment:
# Already set by Ansys installation usually:
export ANSYSLI_SERVER="1055@your-license-server"
export ANSYSLMD_LICENSE_FILE="1055@your-license-server"
# Or for enterprise PyPIM:
export ANSYS_PLATFORM_INSTANCEMANAGEMENT_CONFIG="/path/to/config"
If fluent or mapdl work from your terminal, the MCP server will work too.
🏗️ Architecture
┌───────────────────────────────────────────────────────────────┐
│ Claude Code CLI │
│ "Simulate pipe flow, then transfer to FEA for stress" │
└──────────────────────┬────────────────────────────────────────┘
│ stdio (JSON-RPC via MCP protocol)
┌──────────────────────▼────────────────────────────────────────┐
│ ansys-mcp-server (Python) │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ 30 MCP Tools + Workflow Awareness │ │
│ │ ┌─────────┐ ┌──────────┐ ┌──────────┐ ┌──────────────┐ │ │
│ │ │ Session │ │ Mesh │ │ Solve │ │ Workflow │ │ │
│ │ │ Mgmt │ │ Ops │ │ & Post │ │ Pipeline │ │ │
│ │ └─────────┘ └──────────┘ └──────────┘ └──────────────┘ │ │
│ │ │ │ │
│ │ execute_tui() / scheme.exec() / journal fallback │ │
│ └──────────────────────┬────────────────────────────────────┘ │
│ │ 3-tier delivery │
│ ┌──────────────────────▼────────────────────────────────────┐ │
│ │ LiveAnsysSession (singleton) │ │
│ │ One persistent Fluent window — never duplicated │ │
│ │ PID: 12345 | Commands: 47 | Uptime: 12 min │ │
│ └──────────────────────┬────────────────────────────────────┘ │
└─────────────────────────┼──────────────────────────────────────┘
│
┌───────────┴───────────┐
│ PyAnsys │
│ (fluent / mapdl / │
│ mechanical / dpf) │
└───────────┬───────────┘
│
┌───────────▼───────────┐
│ Ansys License Mgr │
│ (ANSYSLI_SERVER) │
└───────────┬───────────┘
│
┌───────────▼───────────┐
│ Ansys Solver Process │
│ (fluent / mapdl / │
│ mechanical) │
│ ┌─────────────────┐ │
│ │ GUI Window │ │
│ │ • Mesh renders │ │
│ │ • Convergence │ │
│ │ • Field data │ │
│ └─────────────────┘ │
└───────────────────────┘
Delivery tiers (per command):
session.execute_tui()— direct TUI command via gRPC (preferred)session.scheme.exec()— Scheme evaluation (fallback)- Journal file + auto-load (last resort)
❓ FAQ
Q: Does it work without a license? A: The server runs and all tools respond with guidance and API examples. But actual solver launch requires a licensed Ansys installation. On a machine with a valid license, PyAnsys picks it up automatically.
Q: What Ansys versions are supported? A: PyAnsys supports 2024 R1 and newer (versions 241+). This server targets 2025 R1 (251) by default but accepts any version.
Q: Can it run on a remote HPC cluster?
A: Yes — PyAnsys supports connecting to remote Fluent/Mechanical instances. Configure via ANSYS_PLATFORM_INSTANCEMANAGEMENT_CONFIG (PyPIM). For Slurm-based clusters, use ansys-mapdl-core with launch_mapdl(start_instance=False) and point to the cluster's solver binary.
Q: Is this affiliated with Ansys/Synopsys? A: No. This is an independent community project. Ansys and Fluent are trademarks of Ansys Inc. / Synopsys.
Q: Does the AI understand multiphysics workflows?
A: Yes. The server includes ansys_list_workflows which describes the full pipeline for CFD, FEA, thermal, and FSI. The LLM understands which product handles what, and in which order to call tools. For example, FSI = Fluent (fluid) → Mechanical (structure) with mesh transfer in between.
Q: Can Claude Code run a full parametric study? A: Yes. Describe it: "Run 10 cases varying inlet velocity from 1 to 10 m/s, collect pressure drop, make a plot" — Claude Code calls the tools in a loop automatically.
Q: Can it work with my existing .cas/.dat/.mechdb/.inp files?
A: Yes. Use ansys_run_simulation with the input_file parameter pointing to your existing file. For CAD geometry (.stp, .iges, .scdoc), use ansys_load_geometry first.
Q: Does it save result files automatically?
A: Yes. After each simulation, result files are saved to the output directory: Fluent writes .cas.h5 + .dat.h5, Mechanical writes .rst, MAPDL writes .rst/.rth. You can also manually export with ansys_export_results in CSV, VTK, HDF5, or NPZ format.
Q: What result formats can I get?
A: ansys_export_results supports: CSV (Excel/Python analysis), VTK/VTU (ParaView visualization), HDF5 (efficient binary for ML pipelines), NPZ (NumPy-compatible). Plus auto-generated reports in Markdown/HTML/PDF.
Q: Can it handle transient simulations?
A: Yes. Set time-stepping via ansys_set_parameters with {"time": "transient", "time_step_size": 0.01, "num_time_steps": 100}.
Q: What turbulence models are available? A: Through Fluent/MAPDL: k-epsilon (standard, RNG, realizable), k-omega (standard, SST), Spalart-Allmaras, Reynolds Stress, LES, DES. Describe what you need and Claude Code will configure the right one.
Q: Can it do multiphase? A: Yes — VOF, Eulerian, Mixture, DPM. Tell Claude Code: "set up a VOF model for water-air free surface".
Q: Can I use it on Windows while Ansys runs on Linux? A: Yes. The MCP server runs wherever Claude Code runs. If Ansys is on a Linux workstation, install the server there and connect Claude Code to it.
Q: What if the simulation diverges?
A: Claude Code can diagnose and fix it. ansys_get_convergence shows which equations are problematic. Claude Code adjusts under-relaxation, switches to first-order, or refines the mesh.
Q: After rebooting, do I need to restart the MCP server?
A: No. If configured via settings.json (which install.sh does automatically), Claude Code CLI starts the MCP server on launch.
Q: Is there a --upgrade flag?
A: Yes. ./install.sh --upgrade or install.bat --upgrade pulls the latest code and upgrades packages without touching ~/.claude/settings.json.
🤝 Contributing
git clone https://github.com/vorobjewsen30-max/ansys-mcp-server.git
cd ansys-mcp-server
# Create a branch, make changes, send a PR
📄 License
MIT — use it, fork it, ship it.
🤖 Built for Claude Code · Powered by PyAnsys · MCP Protocol
Установка Ansys Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/vorobjewsen30-max/ansys-mcp-serverFAQ
Ansys Server MCP бесплатный?
Да, Ansys Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Ansys Server?
Нет, Ansys Server работает без API-ключей и переменных окружения.
Ansys Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Ansys Server в Claude Desktop, Claude Code или Cursor?
Открой Ansys Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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