kartikgajjar
MCP Serverkartikgajjarpublic

mcp poc v2

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TypeScript
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About This Server

该项目未提供具体描述。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Next.js 14 and App Router-ready AI chatbot.

Chat SDK

Chat SDK is a free, open-source template built with Next.js and the AI SDK that helps you quickly build powerful chatbot applications.

Read Docs · 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 xAI (default), OpenAI, Fireworks, and other model providers
  • shadcn/ui
    • Styling with Tailwind CSS
    • Component primitives from Radix UI for accessibility and flexibility
  • Data Persistence
    • Neon Serverless Postgres for saving chat history and user data
    • Vercel Blob for efficient file storage
  • Auth.js
    • Simple and secure authentication

Model Providers

This template ships with xAI grok-2-1212 as the default chat model. 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:

Deploy with Vercel

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 .env file or it will expose secrets that will allow others to control access to your various AI and authentication provider accounts.

  1. Install Vercel CLI: npm i -g vercel
  2. Link local instance with Vercel and GitHub accounts (creates .vercel directory): vercel link
  3. Download your environment variables: vercel env pull
pnpm install
pnpm dev

Your app template should now be running on localhost:3000.

Quick Start

1

Clone the repository

git clone https://github.com/kartikgajjar/mcp-poc-v2
2

Install dependencies

cd mcp-poc-v2
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerkartikgajjar
Repomcp-poc-v2
LanguageTypeScript
LicenseOther
Last fetched8/10/2025

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