Vercel AI SDK Docs MCP server

This is a small helper that connects your AI assistant to the official Vercel AI SDK documentation. Once it is set up, you can ask plain questions about the AI SDK and get answers based on the real docs instead of guesses. It is handy for developers and anyone building with the Vercel AI SDK who wants quick, grounded answers.

What this MCP server does

You type a question about the Vercel AI SDK, like how a certain function works. Your AI passes that question to this helper. The helper searches an index of the official documentation, and for the agent tool it also uses a Google Gemini model to read the matching pages and write a clear answer. You get the answer back in your chat, along with the relevant documentation it found. It can also remember your earlier questions in the same session, so follow-ups stay in context.

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What you can do with it

• Ask questions about the Vercel AI SDK in plain English
• Search the documentation index directly for matching passages
• Get AI-written answers that combine several doc pages
• Keep context across several questions in one session
• Clear the conversation memory for a session when you want a fresh start
• Rebuild the documentation index to pick up the latest docs

Try asking your AI

• “How do I use the streamText function?”
• “What is the difference between generateText and streamText?”
• “Show me an example of using tools with the AI SDK”
• “How do I handle errors when streaming responses?”

What it gives back to you

You get answers in your chat, written in normal sentences and based on the official docs. The direct search tool gives you a list of matching passages from the documentation. The agent tool gives you a fuller written answer that pulls together what it found. If it changes anything, it is only the saved conversation memory for your session.

Before you start

Who it's for

Developers and technical writers who work with the Vercel AI SDK and want fast, doc-based answers inside their AI assistant.