# VChart Visualization Server

> Use this tool when you need to create interactive and dynamic visualizations to enhance data presentation and analysis. It solves problems related to data communication by generating a variety of chart types, including Cartesian, polar, and hierarchical charts, and supports output formats such as images, HTML, and specification objects. It takes in data and chart specifications as input and produces interactive visualizations as output, making it ideal for use cases where complex data needs to be presented in a clear and concise manner.

Canonical page: https://skillsregistry.net/skills/visactor-vchart-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/visactor-vchart-mcp-server

## Description

Generate interactive charts and visualizations through AI assistants using a variety of chart types and output formats. Easily create images, HTML, or specification objects for programmatic use to enhance data presentation and analysis. Support a wide range of chart types including Cartesian, polar, hierarchical, progress, word cloud, and more for versatile visualization needs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/VisActor/vchart-mcp-server)

## 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": "visactor-vchart-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/visactor-vchart-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/visactor-vchart-mcp-server/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
