Paraview_MCP
An autonomous agent that integrates large language models with ParaView for creating and manipulating scientific visualizations using natural language and visual inputs.
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.
Disclaimer
The current implementation of the connection between the MCP server and ParaView, in both the main and dev branches, relies on synchronization between pvserver and the ParaView client. Because this feature has been deprecated in most recent ParaView versions, the ParaView application view may not display content from the pvserver instance correctly, and overall stability issues may occur.
Video Demo
Click the image below to watch the video:
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 ([email protected]) and Haichao Miao ([email protected])
License
Paraview_MCP is distributed under the terms of the BSD-3 license.
LLNL-CODE-2007260
相關伺服器
Alpha Vantage MCP Server
贊助Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP Tool Kit
A modular server for building AI agents with a unified interface for tools like file operations, web search, browser automation, and financial data.
Page Design Guide MCP Server
MCP server providing modern web design guidance, color psychology, typography, layout patterns, and UI best practices for AI assistants
Ref
Up-to-date documentation for your coding agent. Covers 1000s of public repos and sites. Built by ref.tools
CIE - Code Intelligence Engine
Local code analysis MCP server with 25+ tools: semantic search, call graph tracing, dependency analysis, and symbol navigation. Built with Tree-sitter and CozoDB. Supports Go, Python, JS, TS.
ui-ticket-mcp
Human-to-AI code review bridge. Review UI prototypes in the browser, then let AI agents fix the code automatically via MCP.
Loggles
Loggles is a local-first log sink with an MCP interface that lets coding agents (Claude Code, Cursor) query application logs directly
DeepWiki by Devin
Remote, no-auth MCP server providing AI-powered codebase context and answers
Contrast MCP Server
Remediate vulnerabilities found by Contrast products using LLM and Coding Agent capabilities.
Frappe MCP Server
An MCP server for the Frappe Framework, enabling AI assistants to interact with Frappe's REST API for document management and schema operations.
MCP Context Server
Server providing persistent multimodal context storage for LLM agents.
