# Data Visualization

> Use this tool when you need to generate visual representations of datasets or explore relationships between variables. It provides comprehensive data visualization capabilities through various plots, including relationship graphs, scatter plots, and heatmaps, and automatically saves and displays them to users. Ideal for data analysis workflows where AI assistants require streamlined visualization without manual plotting code.

Canonical page: https://skillsregistry.net/skills/xlisp-data-visualization  
JSON: https://api.skillsregistry.net/v1/skills/xlisp-data-visualization

## Description

A Python-based MCP server that provides comprehensive data visualization capabilities through matplotlib, networkx, and other scientific libraries. The implementation offers eight specialized visualization tools including relationship graphs, scatter plots, 3D visualizations, classification plots, histograms, line charts, and heatmaps, with each plot automatically saved to temporary files and displayed to users. Built using FastMCP for streamlined server setup, it's designed for data analysis workflows where AI assistants need to generate visual representations of datasets, explore relationships between variables, or create publication-ready charts without requiring users to write plotting code directly.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/xlisp-data-visualization)
- **Repository:** <https://github.com/xlisp/visualization-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": "xlisp-data-visualization"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xlisp-data-visualization` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xlisp-data-visualization/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