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$ show wjc9011/COMSOL_Multiphysics_MCP

[account ↗] [repo ↗] APPLICATION ★ 778 77 ● active (last update 4 weeks ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

This repository provides a server application for interacting with COMSOL Multiphysics models via a programmable interface. It features a modular architecture separating concerns into COMSOL model manipulation tools (geometry, mesh, physics, etc.), a knowledge base built from COMSOL documentation PDFs for retrieval-augmented generation, and utility functions for versioning and async handling. The system enables users to load, modify, and simulate COMSOL models through a server interface (likely MCP - Model Context Protocol), while leveraging a vector database of processed PDF documentation to provide contextual assistance. Key entry points include src/server.py and various domain-specific scripts in comsol_models/ directories for building and simulating specific models (e.g., solenoids, micromixers).

RATING8.1/10
QUALITY7.5/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS5
VELOCITY0.88
OPEN ISSUES1
CLOSED ISSUES1
LAST COMMIT4 weeks ago
Files by Type (count)
Other (.pdf)
108
Python
52
Other (.pyc)
42
Other (.mph)
25
Other (no ext)
8
Lock File
8
Markdown
7
Other (.png)
3
Other (.status)
2
Java
2
Git Ignore
1
Other (.class)
1
Files by Type (size)
Other (.pdf)
535MB
Other (.mph)
122MB
Python
503KB
Other (.pyc)
415KB
Other (.sqlite3)
184KB
Markdown
76KB
Other (no ext)
59KB
Other (.png)
8KB
Other (.class)
3KB
Java
2KB
Other (.cff)
1KB
TOML
608B

The LLM identified 3 files worth highlighting for reuse:

Provides a high-level interface to COMSOL model operations (loading, saving, solving, parameter setting) by abstracting the underlying COMSOL Java/API calls. Demonstrates encapsulation of complex API interactions into reusable, domain-specific functions that could be extracted for any COMSOL automation task.

file: src/tools/model.py ↗ | tags: #wrapper-pattern #api-abstraction

Extracts, chunks, and processes text from COMSOL documentation PDFs into a format suitable for vector embedding. Shows robust handling of PDF structure, metadata preservation, and text cleaning - a reusable pattern for building knowledge bases from technical documentation.

file: src/knowledge/pdf_processor.py ↗ | tags: #etl-pattern #document-processing

Implements semantic search over a Chroma vector database of embedded document chunks, enabling context-aware responses. Demonstrates proper vector database querying, result filtering, and integration with retrieval-augmented generation workflows - a reusable component for any LLM application needing document grounding.

file: src/knowledge/retriever.py ↗ | tags: #vector-search #retrieval-augmentation
Last analyzed: 2026-08-03 03:45:33.754313
Next check: 2026-08-10 03:45:33.742697
$ submit: