# Kernal

> Kernal — pintomatic-kernal. Use this tool when you need to extract insights from unstructured conversations and build a personalized knowledge base. Kernal auto-extracts entities and relationships, solving problems of information overload and disorganization in natural language data. It provides a user interface for storing and querying people, organizations, topics, and interactions, making it ideal for use cases involving conversational data analysis and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/pintomatic-kernal  
JSON: https://api.skillsregistry.net/v1/skills/pintomatic-kernal

## Description

Auto-extracts entities and relationships from natural conversations to build a personal knowledge graph. Provides MCP tools for storing and querying people, organizations, topics, and interactions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ija20a0fb1)
- **Repository:** <https://github.com/pintomatic/kernal>

## 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": "pintomatic-kernal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pintomatic-kernal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pintomatic-kernal/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