# vega-mcp-server

> vega-mcp-server — hydrosquall-vega-mcp-server. Use this tool when you need to create custom interactive charts in large language model conversations, solving problems of data visualization and user engagement. It takes in data and configuration inputs and outputs interactive charts through MCP Apps, enabling enhanced user experience. Ideal for use cases where dynamic and immersive data representation is required, such as data analysis, education, or presentation scenarios.

Canonical page: https://skillsregistry.net/skills/hydrosquall-vega-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/hydrosquall-vega-mcp-server

## Description

Custom interactive charts in LLM conversations using MCP Apps

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hydrosquall/vega-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": "hydrosquall-vega-mcp-server"
    }
  }
}
```

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