# ParaView-MCP

> Use this tool when you need to create and manipulate scientific visualizations using natural language and visual inputs. ParaView-MCP solves problems in data visualization by enabling intelligent automation and iterative refinement of visualization workflows. It takes natural language and visual inputs and produces refined scientific visualizations with visual feedback.

Canonical page: https://skillsregistry.net/skills/llnl-paraview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llnl-paraview-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p6tupda3i6)
- **Repository:** <https://github.com/llnl/paraview_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "llnl-paraview-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llnl-paraview-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llnl-paraview-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt