# Jensenify

> Use this tool when you need to inject literary wisdom into engineering decisions or track compute spending targets with a touch of satire. Jensenify loads classic texts into AI tool calls, providing functional tools like consult_the_canon for literary insights and jensen_status for spending tracking. It offers a unique interface that combines literary classics with technical capabilities, making it suitable for developers seeking unconventional problem-solving approaches.

Canonical page: https://skillsregistry.net/skills/kenm47-jensenify  
JSON: https://api.skillsregistry.net/v1/skills/kenm47-jensenify

## Description

Jensenify loads complete texts of Homer's Iliad and Odyssey, Shakespeare's works, Milton's Paradise Lost, the King James Bible, and Tolstoy's War and Peace into every AI tool call. While satirical in tone, it provides functional MCP tools including consult_the_canon for literary wisdom on engineering questions and jensen_status to track compute spending targets. Built with TypeScript using the MCP SDK.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kenm47-jensenify)
- **Repository:** <https://github.com/kenm47/jensenify-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": "kenm47-jensenify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenm47-jensenify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenm47-jensenify/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