Provides knowledge-based rules and API guidelines for photonics simulation using COMSOL, including MPh API and mode analysis rules.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Photonics Simulation MCP Recommend a tool for mode analysis."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Knowledge-based MCP server for photonics simulation engineering.
Supported software:
Lumerical FDTD
HFSS
COMSOL
Current capabilities:
Known bug database
Engineering experience repository
Workflow guidance
git clone https://github.com/LLLDYYY/Photonics-Simulation-MCP.git
cd Photonics-Simulation-MCPpython -m pip install -r requirements.txtpython server.pyRelated MCP server: COMSOL MCP Server
hello()Returns MCP health status.
get_lumerical_bugs()Returns known Lumerical issues.
get_hfss_bugs()Returns known HFSS issues.
get_comsol_rules()Returns COMSOL simulation rules.
get_pyaedt_rules()Returns PyAEDT usage rules.
get_physics_rules()Returns photonics physics rules.
get_simulation_guard(software)Returns known warnings for selected software.
get_tool_recommendation(task)Recommends simulation tool based on task.
get_workflow(workflow_name)Returns workflow steps.
search_knowledge(keyword)Search all knowledge files.
Example:
{
"mcpServers": {
"photonics": {
"command": "python",
"args": [
"server.py"
]
}
}
}This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Official MCP server for Lovable, the AI-powered full-stack app builder.
Free, no-key MCP server: token estimates, JSON Schema conversion, MCP configs, tool search.
Official MCP server for Softhills 3D/2D Visualization SDKs, API documentation, and code examples.
