moldsim mcp
Official# MoldSim MCP Server
[](LICENSE)
[](https://www.npmjs.com/package/moldsim-mcp)
[](https://modelcontextprotocol.io)
**Give your AI assistant injection molding expertise.**
An MCP (Model Context Protocol) server that gives AI assistants expert knowledge about injection molding simulation. Material properties, process validation, troubleshooting, and simulation specification generation — all available as tools.
**Website:** [moldsim.com](https://moldsim.com)
## Why
Setting up injection molding simulations (Moldflow, Moldex3D, Cadmould) requires deep knowledge: Cross-WLF viscosity models, Tait PVT data, processing windows, mesh strategies, DFM rules. This MCP server makes that knowledge available to any AI assistant that supports MCP.
## Quick Start
### Claude Code (recommended)
```bash
claude mcp add moldsim -- npx -y moldsim-mcp
```
That's it. Ask Claude about injection molding — it will automatically use MoldSim tools.
```bash
claude "What causes warpage in glass-filled nylon parts?"
claude "Give me the Cross-WLF parameters for PC/ABS"
claude "Validate: ABS at 245C melt, 60C mold, 2.5mm wall"
```
### Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%/Claude/claude_desktop_config.json` (Windows):
```json
{
"mcpServers": {
"moldsim": {
"command": "npx",
"args": ["-y", "moldsim-mcp"]
}
}
}
```
### From source
```bash
git clone https://github.com/kobzevvv/moldsim-mcp.git
cd moldsim-mcp
npm install
npm run build
```
Then point your MCP client to `node dist/index.js`.
## Tools
### `query_simulation_knowledge`
Free-text Q&A against the knowledge base. Ask about defects, DFM rules, mesh strategies, process optimization.
```
"Why is my part warping?" → causes, solutions, simulation checks
"What mesh type should I use?" → midplane vs dual-domain vs 3D guidance
"How to reduce cycle time?" → cooling optimization strategies
```
### `get_material_properties`
Material property lookup. Returns Cross-WLF viscosity, Tait PVT, thermal, processing window, and mechanical data.
**21 materials included:** ABS, PP Homo, PP Copo, PA6, PA66, PA66-GF30, PC, PC/ABS, POM, HDPE, LDPE, PMMA, PBT, PBT-GF30, PET, PS, HIPS, TPU, SAN, ASA, PPE/PS
```
"PA66-GF30" → Cross-WLF coefficients, Tait PVT, processing window 275-310°C, fiber effects
"PC" → all properties or filter by group (viscosity, thermal, processing)
```
### `validate_process_parameters`
Checks your process parameters against the material's processing window. Flags errors, warnings, and provides suggestions.
```
material: "ABS", melt_temp_C: 280 → ERROR: exceeds max 260°C, risk of degradation
material: "PA66", mold_temp_C: 40 → WARNING: below min 70°C, poor crystallization
```
### `generate_simulation_spec`
Natural language → structured simulation specification. Describe the part and get back analysis types, mesh recommendations, process conditions, and expected outputs.
```
"Automotive dashboard panel in PC/ABS, 2.5mm wall, warpage analysis"
→ Fill+Pack+Cool+Warp sequence, dual-domain mesh, process conditions, expected outputs
```
### `compare_materials`
Side-by-side comparison of 2-4 materials. Processing windows, thermal properties, mechanical data, and auto-generated key differences.
```
["abs-generic", "pc", "pa66-gf30"] → comparison table with stiffness, shrinkage, heat resistance diffs
```
### `generate_dfm_checklist`
Design for Manufacturability checklist with pass/warn/fail ratings. Input part parameters and get 15+ DFM rule checks.
```
material: "ABS", wall: 2mm, rib: 1.5mm, draft: 0.5°
→ 16 checks: wall OK, rib WARN (75% ratio), draft WARN (below 1°), sink risk, venting...
```
## Examples
Ask your AI assistant:
- "What are the Cross-WLF parameters for PA66-GF30?"
- "I'm getting sink marks on my PC housing — what should I check?"
- "Validate my process: ABS at 250°C melt, 70°C mold, 2mm wall"
- "Generate a simulation spec for a PP container with 1.5mm walls"
- "Compare ABS vs PC vs PA66-GF30 for an automotive connector"
- "Run a DFM check: 2mm wall, 1.5mm ribs, 0.5° draft in PC"
- "What mesh type should I use for a thick-walled POM gear (5mm)?"
- "How do I fix warpage in a glass-filled PA66 connector?"
## Knowledge Coverage
| Area | Coverage |
|------|----------|
| Materials | 21 grades with Cross-WLF, Tait PVT, thermal, mechanical, processing + comparison |
| Defects | Short shot, flash, sink marks, warpage, weld lines, burn marks, jetting, splay, voids, flow marks |
| Simulation | Mesh sensitivity, race tracking, cooling, overpacking, shear rate |
| Process | Cycle time, gate location, V/P switchover, degradation, crystallization, fiber orientation |
| DFM | Wall thickness, ribs, draft, radii, bosses, gating, tolerances, shrinkage, venting |
| Meshing | Midplane, dual-domain, 3D — when to use, element sizing, quality metrics |
## Compatible Software
MoldSim MCP provides software-agnostic knowledge that applies to all major injection molding simulation packages:
- **Autodesk Moldflow** — Adviser & Insight
- **Moldex3D** — all editions
- **CADMOULD** — Simcon
- **SIGMASOFT** — Virtual Molding
- **SolidWorks Plastics**
## Tech Stack
- **Runtime:** Node.js, TypeScript
- **Search:** Qdrant vector database (local, embedded)
- **Embeddings:** HuggingFace transformers
- **Protocol:** Model Context Protocol (MCP)
## License
MIT
TDQS
Scored across 6 tools
Each tool serves a distinct purpose with clear boundaries: material lookup vs. comparison, DFM checklist generation vs. simulation spec generation, knowledge querying, and process validation. No functional overlap exists.
All six tools follow a consistent verb_noun snake_case pattern (compare_materials, generate_dfm_checklist, get_material_properties, etc.). Verb choices clearly indicate the action type (get vs. generate vs. validate vs. query).
Six tools is an ideal count for this domain, covering the complete pre-simulation workflow: material selection, DFM validation, simulation setup, process validation, and knowledge support without bloat or redundancy.
Excellent coverage of injection molding preparation workflows including material data, DFM checks, and process validation. Minor gap in actual simulation execution or results analysis tools, though this may be out of scope for a specification/preparation server.