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.
Vercel Ai Chat MCP Server
@andrewhuang427
Basic information
About Vercel Ai Chat MCP Server
Add mcp servers to vercel's open source ai chat
Vercel Ai Chat MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryVercel Ai Chat MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
Frequently asked questions
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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