ParaView-MCP

ParaView-MCP

Integrates multimodal large language models with ParaView to enable the creation and manipulation of scientific visualizations using natural language and visual inputs. It features visual feedback capabilities for iterative refinement, making advanced visualization workflows accessible through intelligent automation.

Category
Visit Server

README

Paraview_MCP

ParaView-MCP is an autonomous agent that integrates multimodal large language models with ParaView through the Model Context Protocol, enabling users to create and manipulate scientific visualizations using natural language and visual inputs instead of complex commands or GUI operations. The system features visual feedback capabilities that allow it to observe the viewport and iteratively refine visualizations, making advanced visualization accessible to non-experts while augmenting expert workflows with intelligent automation.

Video Demo

Click the image below to watch the video:

Video Title

Installation

git clone https://github.com/LLNL/paraview_mcp.git
cd paraview_mcp

conda create -n paraview_mcp python=3.10
conda install conda-forge::paraview
conda install mcp[cli] httpx

Setup for LLM

To set up integration with claude desktop, add the following to claude_desktop_config.json

    "mcpServers": {
      "ParaView": {
        "command": "/path/to/python",
        "args": [
        "/path/to/paraview_mcp/paraview_mcp_server.py"
        ]
      }
    }

running

1. Start paraview server

python pvserver --multi-clients

2. Connect to paraview server from paraview GUI (file -> connect)

3. Start claude desktop app


Citing Paraview_MCP

S. Liu, H. Miao, and P.-T. Bremer, “Paraview-MCP: Autonomous Visualization Agents with Direct Tool Use,” in Proc. IEEE VIS 2025 Short Papers, 2025, pp. 00

@inproceedings{liu2025paraview,
  title={Paraview-MCP: Autonomous Visualization Agents with Direct Tool Use},
  author={Liu, S. and Miao, H. and Bremer, P.-T.},
  booktitle={Proc. IEEE VIS 2025 Short Papers},
  pages={00},
  year={2025},
  organization={IEEE}
}

Authors

Paraview_MCP was created by Shusen Liu (liu42@llnl.gov) and Haichao Miao (miao1@llnl.gov)

License

Paraview_MCP is distributed under the terms of the BSD-3 license.

LLNL-CODE-2007260

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured