paraview_mcp

The ParaView-MCP server integrates multimodal large language models (LLMs) with the ParaView visualization tool through the Model Context Protocol (MCP). This innovative setup allows you to control scientific visualizations using natural language, making complex visualization tasks accessible to both novice and expert users. With intelligent automation, you can streamline your workflow while harnessing the full power of ParaView's capabilities.

Once connected to the ParaView-MCP server, you can issue natural language commands to manipulate the visualization viewport. You can create or modify visualizations, adjust parameters, and retrieve visual feedback by simply describing your desired outcome in plain language. For example, commands like "show me a heatmap of the data" or "rotate the view" will allow for intuitive interaction with your scientific data without needing to delve into complex settings.

To install ParaView-MCP, ensure you have the following prerequisites:

• Node.js (version 14 or later)
• Python (version 3.6 or later)

Option A: Quick start with npx

If you want to quickly start using ParaView-MCP without a global installation, you can run:

npx -y llnl/paraview_mcp  

Option B: Global install alternative

To install the server globally, clone the repository and install dependencies:

git clone https://github.com/llnl/paraview_mcp  
cd paraview_mcp  
npm install  

Then, run the server:

node server.js  

To optimize your experience with ParaView-MCP, consider configuring environment variables like PARAVIEW_HOME to point to your ParaView installation directory. This can help avoid path-related issues. Additionally, ensure that your Node.js and Python versions are compatible, as mismatches may lead to unexpected errors. Common gotchas include ensuring that your network settings allow for proper communication between the server and ParaView.