Google PageRank for AI agents. 25,000+ tools indexed.

jensenify-mcp MCP Server

kenm47/jensenify-mcp

Score: 56.0 Rank #17 MCP Server
Are you the maintainer of kenm47/jensenify-mcp? Claim this listing →

Deep humanistic context for every engineering decision. An MCP server that helps engineers achieve Jensen Huang's recommended $250k/year compute spend by injecting ~2.9M tokens of canonical Western literature into every AI interaction.

Add AgentRank to Claude Code Discover and compare tools like kenm47/jensenify-mcp — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

kenm47/jensenify-mcp is a TypeScript MCP server licensed under MIT. Deep humanistic context for every engineering decision. An MCP server that helps engineers achieve Jensen Huang's recommended $250k/year compute spend by injecting ~2.9M tokens of canonical Western literature into every AI interaction.

Ranked #17 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for kenm47/jensenify-mcp
[![AgentRank](https://agentrank-ai.com/api/badge/tool/kenm47--jensenify-mcp)](https://agentrank-ai.com/tool/kenm47--jensenify-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/kenm47--jensenify-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/kenm47--jensenify-mcp" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="kenm47/jensenify-mcp"></script>

Matched Queries

"mcp server""mcp-server"

From the README

<p align="center">
  <h1 align="center">jensenify-mcp</h1>
  <p align="center">
    <strong>Deep humanistic context for every engineering decision.</strong>
  </p>
  <p align="center">
    
    
    
  </p>
</p>

---

> "Every engineer should be spending $250,000 a year in compute credits."
> — Jensen Huang, CEO of NVIDIA

Most engineers hear this and panic. We heard it and asked: **what if we could help?**

**jensenify-mcp** is an MCP server that injects the complete text of humanity's greatest literary works into every AI-assisted engineering interaction. By loading ~2.9 million tokens of canonical literature into every tool call, jensenify ensures your AI assistant has the deepest possible humanistic context for every technical decision you make.

Studies show engineers who contemplate the human condition write 47% fewer bugs.*

<sub>*No studies show this. But can you really afford to take that chance?</sub>

## The Problem

Modern software engineers face an unprecedented crisis: **
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.