Jinni: Bring Your Project Into Context

by smat-dev

269 stars

233 downloads

Not rated

GitHub

About

A tool to provide Large Language Models with project context by intelligently filtering and concatenating relevant files.

Details

Author: smat-dev
GitHub stars: 269
Downloads: 233
Categories: Developer Tools, AI, Knowledge Base, Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Jinni: Bring Your Project Into Context

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

From the repository

Configure your MCP client to run the server via uvx jinni-server, or use the CLI directly with jinni [OPTIONS] [<PATH...>]. The MCP server exposes the read_context tool; the CLI outputs concatenated file contents to stdout or clipboard.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "jinni: bring your project into context": {
            "jinni": {
                "command": "uvx",
                "args": [
                    "jinni-server",
                    "[OPTIONS]"
                ]
            }
        }
    }
}

McpServers

{
    "jinni": {
        "command": "uvx",
        "args": [
            "jinni-server",
            "[OPTIONS]"
        ]
    }
}

Jinni: Bring Your Project Into Context

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 files

     Dotfiles and hidden directories

    * Common naming conventions for logs, build directories, tempfiles, etc

Inclusions/exclusions are customizable with complete granularity if required using .contextfiles – this works like .gitignore except defining inclusions. .gitignore files themselves are also respected automatically, but any rules in .contextfiles` take priority.

The MCP server can provide as much or as little of the project as desired. By default the scope is the whole project, but the model can ask for specific modules / matching patterns / etc.

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Jinni: Bring Your Project Into Context

About

Details

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Setting up with Highlight

Setting up with Cursor

JSON

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Setting up with Claude Desktop

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JSON

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Setting up with Windsurf

JSON

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Setting up with Cline

JSON

JSON

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Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

Jinni: Bring Your Project Into Context

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Jinni: Bring Your Project Into Context

Install

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