# Graphistry

> Use this tool when you need to create and analyze complex network visualizations with GPU-accelerated performance, solving problems in network analysis, threat detection, and data exploration. It provides inputs for graph data and outputs customized visualizations through various layout algorithms, pattern detection, and visual encoding options. Ideal for use cases requiring high-performance rendering and efficient manipulation of graph data.

Canonical page: https://skillsregistry.net/skills/graphistry-gpu-visualization  
JSON: https://api.skillsregistry.net/v1/skills/graphistry-gpu-visualization

## Description

The Graphistry MCP server provides AI assistants with GPU-accelerated graph visualization capabilities through a FastMCP implementation. This server enables creating, analyzing, and styling network visualizations by exposing tools for graph rendering, layout algorithms, pattern detection, and visual encoding. It integrates with Graphistry's cloud platform for high-performance rendering while maintaining a local cache of graph data for efficient manipulation. The implementation supports both standard and specialized layouts (ring, tree, group-in-a-box), community detection, and comprehensive visual customization through node color, size, icon, and badge encodings, making it valuable for network analysis, threat detection, and data exploration workflows.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

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