Learning Ai

by arunkumar201

1 837 downloads Not rated yet

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About

Learning Ai is a Next.js web application bootstrapped with create-next-app. The README provides instructions for running a development server and references a LibreChat repository.

Explore

- Bootstrapped with create-next-app for a standard Next.js setup.
- Uses next/font to automatically optimize and load the Geist font.
- Development server auto-updates as you edit the page.

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 Learning Ai

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": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

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": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

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": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

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": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

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": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

From the repository

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "learning ai": {
            "learning-ai": {
                "command": "bun",
                "args": [
                    "dev"
                ]
            }
        }
    }
}

McpServers

{
    "learning-ai": {
        "command": "bun",
        "args": [
            "dev"
        ]
    }
}

This is a Next.js project bootstrapped with create-next-app.

Getting Started

### Reference - https://github.com/arunkumar201/LibreChat First, run the development server:

npm run dev
or
yarn dev
or
pnpm dev
or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

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About

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Getting Started

or

or

or

Learn More

Deploy on Vercel

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