# MCP Knowledge Viz

> Use this tool when you need to organize and visualize complex knowledge graphs, enabling efficient semantic search and interactive 3D exploration of embedded data. It solves problems related to information overload and facilitates insights through intuitive visual representations. Ideal for use cases involving large datasets, entity relationships, and concept mapping, where users input facts and receive interactive 3D visualizations as output.

Canonical page: https://skillsregistry.net/skills/abtpst-mcp-knowledge-viz  
JSON: https://api.skillsregistry.net/v1/skills/abtpst-mcp-knowledge-viz

## Description

Enables storage and semantic search of facts, and interactive 3D visualization of embeddings via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vfon5sxq9m)
- **Repository:** <https://github.com/abtpst/mcp-knowledge-viz>

## 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": "abtpst-mcp-knowledge-viz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abtpst-mcp-knowledge-viz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abtpst-mcp-knowledge-viz/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