PyVista MCP Server

by pyvista

7 stars

269 downloads

Not rated

GitHub

About

An MCP server for 3D visualization and data analysis using the PyVista library.

Details

Author: pyvista
GitHub stars: 7
Downloads: 269
Categories: Developer Tools, Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name PyVista MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

From the repository

Configure the server in your MCP settings using a JSON object that specifies the Python executable path, server script path, a 600-second timeout, and stdio transport. Invoke the hello_world tool, which produces an HTML file named a_basic.html in the current working directory. Open that file in a web browser to view the interactive 3D scene.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "pyvista mcp server": {
            "mcp-demo-server": {
                "disabled": false,
                "timeout": 600,
                "command": "<path-to-python-executable>",
                "args": [
                    "<path-to-server-script>"
                ],
                "transportType": "stdio"
            }
        }
    }
}

McpServers

{
    "mcp-demo-server": {
        "disabled": false,
        "timeout": 600,
        "command": "<path-to-python-executable>",
        "args": [
            "<path-to-server-script>"
        ],
        "transportType": "stdio"
    }
}

This repository contains a PyVista-based MCP (Model Context Protocol) server. It demonstrates the integration of PyVista for 3D visualization with MCP tools.

- hello_world Tool: A tool that generates and exports a 3x3 grid of 3D shapes (Cylinder, Arrow, Sphere, etc.) as an interactive HTML file.

Thehello_worldtool exports an HTML file nameda_basic.htmlin the current working directory. Open this file in a web browser to view the interactive 3D visualization.

To configure the MCP server, use the following JSON structure in your settings:

{ "mcpServers": { "mcp-demo-server": { "disabled": false, "timeout": 600, "command": "<path-to-python-executable>", "args": ["<path-to-server-script>"], "transportType": "stdio" } } }

This configuration specifies the command and arguments to run the MCP server, along with other settings like timeout and transport type.

https://github.com/user-attachments/assets/244d7f7d-1432-4d11-8b12-b0138e97746a

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

MCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references.

A Model Context Protocol server for generating visual charts using AntV.

50+ pay-per-call APIs for AI agents via HTTP 402 crypto micropayments. $0.001–$0.12 per call with USDC and USDm.

Interaction profile registry for AI agents — log interactions, build a behavioral profile, query it through behavioral lenses. 21 tools, zero-config.

A hosted API /MCP platform providing developer-friendly JSON endpoints for user-agent parsing, postal code search with spatial queries, country/subdivision lookup, cryptographic hashing, IP geolocation, email risk scoring, and more.

Blynk's MCP server lets AI coding tools create device templates, manage devices, and read live sensor data on the Blynk IoT platform

An MCP server that integrates IFC model support using Bonsai BIM (Blender) and IfcOpenShell.

Generates and queries a graph representation of a codebase.

MCP server that gives coding agents program-analysis primitives — data flow, call graphs, taint analysis — so they reason from ground truth instead of grep-and-guess. (same as the GitHub About — keeps your messaging consistent across the web).

Coral Query Plane is a paid remote MCP endpoint for AI SDK data query MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-ready workflo

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

PyVista MCP Server

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Install

More like this

Sequential Thinking

Sentry

Github

Filesystem

EverArt

Google Drive