Flatfile Chat Mcp
What is Flatfile Chat Mcp
The Next.js AI Chatbot is an open-source template designed to facilitate the creation of AI chat interfaces using Next.js and Vercel’s AI SDK. It leverages modern web technologies to provide a robust, interactive experience.
Use cases
This AI Chatbot template is suitable for various applications, including customer support, personal assistants, educational tools, and any scenario requiring user interaction with AI. It can easily be customized to fit specific needs.
How to use
To use the Next.js AI Chatbot, clone the repository, set up the required environment variables as specified in the .env.example file, install dependencies, and run the development server. Developers can deploy the chatbot to Vercel with a one-click deployment option.
Key features
Key features include advanced routing with Next.js App Router, support for various LLM providers through the AI SDK, data persistence with Vercel Postgres and Blob storage, and simple authentication via NextAuth.js. It also incorporates responsive design with shadcn/ui and Tailwind CSS.
Where to use
The chatbot can be deployed on various platforms, leveraging Vercel for hosting. It is ideal for web applications that require AI-driven interaction, making it suitable for websites, e-commerce platforms, educational tech, and more.
Overview
What is Flatfile Chat Mcp
The Next.js AI Chatbot is an open-source template designed to facilitate the creation of AI chat interfaces using Next.js and Vercel’s AI SDK. It leverages modern web technologies to provide a robust, interactive experience.
Use cases
This AI Chatbot template is suitable for various applications, including customer support, personal assistants, educational tools, and any scenario requiring user interaction with AI. It can easily be customized to fit specific needs.
How to use
To use the Next.js AI Chatbot, clone the repository, set up the required environment variables as specified in the .env.example file, install dependencies, and run the development server. Developers can deploy the chatbot to Vercel with a one-click deployment option.
Key features
Key features include advanced routing with Next.js App Router, support for various LLM providers through the AI SDK, data persistence with Vercel Postgres and Blob storage, and simple authentication via NextAuth.js. It also incorporates responsive design with shadcn/ui and Tailwind CSS.
Where to use
The chatbot can be deployed on various platforms, leveraging Vercel for hosting. It is ideal for web applications that require AI-driven interaction, making it suitable for websites, e-commerce platforms, educational tech, and more.
Content
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Next.js AI Chatbot
An Open-Source AI Chatbot Template Built With Next.js and the AI SDK by Vercel.
Features · Model Providers · Deploy Your Own · Running locally
Features
- Next.js App Router
- Advanced routing for seamless navigation and performance
- React Server Components (RSCs) and Server Actions for server-side rendering and increased performance
- AI SDK
- Unified API for generating text, structured objects, and tool calls with LLMs
- Hooks for building dynamic chat and generative user interfaces
- Supports OpenAI (default), Anthropic, Cohere, and other model providers
- shadcn/ui
- Styling with Tailwind CSS
- Component primitives from Radix UI for accessibility and flexibility
- Data Persistence
- Vercel Postgres powered by Neon for saving chat history and user data
- Vercel Blob for efficient file storage
- NextAuth.js
- Simple and secure authentication
Model Providers
This template ships with OpenAI gpt-4o as the default. However, with the AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, and many more with just a few lines of code.
Deploy Your Own
You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:
Running locally
You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It’s recommended you use Vercel Environment Variables for this, but a .env file is all that is necessary.
Note: You should not commit your
.envfile or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.
- Install Vercel CLI:
npm i -g vercel - Link local instance with Vercel and GitHub accounts (creates
.verceldirectory):vercel link - Download your environment variables:
vercel env pull
pnpm install pnpm dev
Your app template should now be running on localhost:3000.