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Vercel Ai Chat MCP Server

@andrewhuang427

代码仓库

基本信息

分类

AI 与智能体

许可证

View license

传输方式

stdio

作者

andrewhuang427

关于 Vercel Ai Chat MCP Server

Add mcp servers to vercel's open source ai chat

#vercel#ai#chatbot

Vercel Ai Chat MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Vercel Ai Chat MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Vercel Ai Chat Mcp?

Vercel Ai Chat Mcp is a free, open-source template built with Next.js and the AI SDK that helps you quickly build powerful chatbot applications. It comes with data persistence, authentication, and support for multiple LLM model providers.

How to use Vercel Ai Chat Mcp?

You can deploy your own version to Vercel with one click, or run it locally by installing Vercel CLI, linking your instance, and downloading environment variables. Then run pnpm install and pnpm dev.

Key features of Vercel Ai Chat Mcp

  • Built with Next.js App Router and React Server Components
  • Integrated AI SDK for unified LLM interactions
  • Supports xAI, OpenAI, Anthropic, and more model providers
  • Default chat model is xAI's grok-2-1212
  • Data persistence via Neon Serverless Postgres
  • File storage with Vercel Blob
  • Authentication using Auth.js
  • Styling with shadcn/ui and Tailwind CSS

Use cases of Vercel Ai Chat Mcp

  • Quickly prototype and deploy a production-ready AI chatbot
  • Build custom chat interfaces with dynamic generative UIs
  • Switch between LLM providers without rewriting code
  • Integrate chat history and file uploads in a single app

常见问题

1

What LLM providers are supported?

The template ships with xAI by default but supports switching to OpenAI, Anthropic, Cohere, and many more through the AI SDK.

2

What are the runtime requirements?

It requires Node.js and pnpm, and is designed to run on Vercel or locally with environment variables.

3

How is data persisted?

Chat history and user data are saved using Neon Serverless Postgres, and files are stored with Vercel Blob.

4

How do I deploy my own version?

Click the "Deploy with Vercel" button in the README, which clones the repository, sets a `AUTH_SECRET` environment variable, and deploys to Vercel automatically.

5

How do I run it locally?

Install Vercel CLI, link your local instance with `vercel link`, pull environment variables with `vercel env pull`, then run `pnpm install` and `pnpm dev`.

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