# mcp-chat-visualizer

> Use this tool when you need to visually organize and understand complex conversations, as it generates structured hierarchical mind maps from chat transcripts, taking in text-based conversation inputs and producing JSON mind map outputs, ideal for analyzing and summarizing discussions. It solves problems of conversation tracking and knowledge mapping, providing a clear and concise visual representation of dialogue flows. This tool is particularly useful in contexts where conversation analysis and visualization are crucial, such as meeting notes, customer support, or content creation.

Canonical page: https://skillsregistry.net/skills/asar007-mcp-chat-visualizer  
JSON: https://api.skillsregistry.net/v1/skills/asar007-mcp-chat-visualizer

## Description

Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.

## Trust

- **Trust score (0–1):** 0.69
- **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/tp72o66s84)
- **Repository:** <https://github.com/Asar007/mcp-chat-visualizer>

## 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": "asar007-mcp-chat-visualizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asar007-mcp-chat-visualizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asar007-mcp-chat-visualizer/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