jinni

smat-dev
267
Bring your project into LLM context - tool and MCP server

Overview

jinni Introduction

Jinni is a tool designed to provide Large Language Models (LLMs) with the context of your projects efficiently. It consolidates relevant project files into a single view, allowing LLMs to better assist with tasks by directly accessing project content.

How to Use

To use Jinni, you can integrate it with AI tools via the MCP server or use the command-line utility (CLI) to copy project context to your clipboard. Configuration is done through a JSON file specifying the MCP server settings.

Key Features

Key features of Jinni include: 1) Consolidated view of project files; 2) Automatic exclusion of irrelevant files (binary files, hidden directories, etc.); 3) Customizable inclusion/exclusion rules using .contextfiles; 4) Flexibility to provide varying scopes of project context.

Where to Use

Jinni can be used in software development environments, particularly where LLMs are employed for code assistance, debugging, or documentation generation.

Use Cases

Use cases for Jinni include: 1) Assisting developers with code suggestions; 2) Enhancing documentation processes; 3) Streamlining debugging by providing relevant context; 4) Facilitating project onboarding for new team members.

Content