# kernl

> kernl — fastslack-kernl. Use this tool when you need to integrate a large language model (LLM) with a personalized knowledge graph of your life, including tasks, email, finance, contacts, and calendar. Kernl provides a self-hosted MCP server that enables LLMs to access and act upon this graph-backed memory layer, solving problems related to personal data management and automation. It offers autonomous agent offices that can take action on your behalf, making it ideal for use cases that require seamless interaction between AI models and personal data.

Canonical page: https://skillsregistry.net/skills/fastslack-kernl  
JSON: https://api.skillsregistry.net/v1/skills/fastslack-kernl

## Description

A self-hosted MCP server that provides any LLM with a graph-backed memory layer of your life—tasks, email, finance, contacts, calendar—plus autonomous agent offices that act on your behalf.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bk33b1a9ih)
- **Repository:** <https://github.com/fastslack/kernl>

## 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": "fastslack-kernl"
    }
  }
}
```

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