Vercel Connect now supports TanStack AI

Vercel Connect now supports TanStack AI, letting agents built with TanStack AI call OAuth-protected MCP servers without developers storing or rotating credentials. The new @vercel/connect/tanstack-ai subpath exports connectMCPTransport, which attaches a Connect-backed auth provider that is called before every MCP request so the token stays fresh. If a user has not granted access, createMCPClient fails with a consent challenge before the model runs, which developers catch with getConsentChallenge and redirect to Connect's consent URL.

Agents built with TanStack AI can now call OAuth-protected MCP servers through Vercel Connect, with no credentials for you to store or rotate. The new @vercel/connect/tanstack-ai subpath exports connectMCPTransport , which takes a TanStack transport config and attaches a Connect-backed auth provider. The provider is called before every MCP request, so the token is always fresh. If the user has not granted access, createMCPClient fails with a consent challenge before the model runs. Catch it with getConsentChallenge and redirect to Connect's consent URL. Otherwise, a consent error raised within a tool call would reach the model as an error string rather than the user as a redirect. Read the TanStack AI integration docs https://vercel.com/docs/connect/frameworks/tanstack-ai to get started, or see the full list of supported frameworks and adapters https://vercel.com/docs/connect/frameworks for Vercel Connect.