mcpField
L
Learning Ai

Learning Ai

Local
github.com/arunkumar201Developer Tools1Updated 17w ago
Repository

About Learning Ai

Learning Ai is a Next.js project bootstrapped with create-next-app. The README describes running and editing the web app, but does not document the AI or MCP capabilities suggested by its tags.

Key features

  1. 01Run the Next.js development server
  2. 02Edit pages in app/page.tsx
  3. 03Load Geist with next/font

Use cases

  1. 01Run the project locally for development
  2. 02Modify the app's page
#typescript#nextjs#ipython-notebook#python3#openai#cursor#pnpm#bun#uv#tailwindcss#fastapi#mcp-server

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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:

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.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.