Vercel Ai Chat Mcp
@andrewhuang427
Vercel Ai Chat Mcp について
Add mcp servers to vercel's open source ai chat
基本情報
設定
ツール
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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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
FAQ from Vercel Ai Chat Mcp
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.
What are the runtime requirements?
It requires Node.js and pnpm, and is designed to run on Vercel or locally with environment variables.
How is data persisted?
Chat history and user data are saved using Neon Serverless Postgres, and files are stored with Vercel Blob.
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.
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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