Skip to main content
Glama

Paraview_MCP

ParaView-MCP 是一个自主智能体,通过模型上下文协议(Model Context Protocol)将多模态大语言模型与 ParaView 集成,使用户能够使用自然语言和视觉输入来创建和操作科学可视化,而无需复杂的命令或 GUI 操作。该系统具备视觉反馈功能,允许其观察视口并迭代优化可视化效果,使非专家也能进行高级可视化操作,同时通过智能自动化增强专家工作流。

免责声明

当前 MCP 服务器与 ParaView 之间的连接实现(在主分支和开发分支中)依赖于 pvserver 和 ParaView 客户端之间的同步。由于此功能在最近的大多数 ParaView 版本中已被弃用,ParaView 应用程序视图可能无法正确显示来自 pvserver 实例的内容,并可能出现整体稳定性问题。

Related MCP server: MCP LAMMPS Server

视频演示

点击下方图片观看视频:

视频标题

安装

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

LLM 设置

要设置与 Claude Desktop 的集成,请将以下内容添加到 claude_desktop_config.json 中

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

运行

1. 启动 paraview 服务器

python pvserver --multi-clients

2. 从 paraview GUI 连接到 paraview 服务器 (文件 -> 连接)

3. 启动 claude 桌面应用程序


引用 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}
}

作者

Paraview_MCP 由 Shusen Liu (liu42@llnl.gov) 和 Haichao Miao (miao1@llnl.gov) 创建

许可证

Paraview_MCP 根据 BSD-3 许可证的条款分发。

LLNL-CODE-2007260

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    F
    maintenance
    A Model Context Protocol server that enables AI assistants to interact with LAMMPS for molecular dynamics simulations through natural language commands.
    14
    Apache 2.0
  • A
    license
    B
    quality
    C
    maintenance
    Viznoir empowers AI agents to directly analyze and visualize complex 3D scientific and engineering data in cinematic resolution using a fully headless VTK engine. It enables LLMs to seamlessly execute advanced physical analysis, 3D rendering, and generate publication-ready animations purely through natural language commands.
    23
    18
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    Integrates GROMACS molecular dynamics simulations with VMD visualization, enabling setup, execution, analysis, and 3D visualization of molecular dynamics workflows through natural language.
    23
    MIT