Learning Ai

by arunkumar201

1 stars

837 downloads

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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.

Details

Author: arunkumar201
GitHub stars: 1
Downloads: 837
Categories: 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 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

Run the development server using npm run dev, yarn dev, pnpm dev, or bun dev. Then open http://localhost:3000 to see the result. Deploy the application on the Vercel Platform for easiest deployment.

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](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). ## Getting Started ### Reference - https://github.com/arunkumar201/LibreChat First, run the development server: ```bash npm run dev # or yarn dev # or pnpm dev # or bun dev ``` Open [http://localhost:3000](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`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. ## Learn More To learn more about Next.js, take a look at the following resources: - [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. - [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! ## Deploy on Vercel The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

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Learning Ai

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Install

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