AgentRank

From the README

# Jinni: Bring Your Project Into Context

<a href="https://glama.ai/mcp/servers/@smat-dev/jinni">
  
</a>

Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files, overcoming the limitations and inefficiencies of reading files one by one. Each file's content is preceded by a simple header indicating its path:

```
```path=src/app.py
print("hello")
```

The philosophy behind this tool is that LLM context windows are large, models are smart, and directly seeing your project best equips the model to help with anything you throw at it.

There is an MCP (Model Context Protocol) server for integration with AI tools and a command-line utility (CLI) for manual use that copies project context to the clipboard ready to paste wherever you need it.

These tools are opinionated about what counts as relevant project context to best work out of the box in most use cases, automatically excluding:

    * Binary fi