Vercel Connect now supports TanStack AI
Vercel Connect adds support for TanStack AI agents to call OAuth-protected MCP servers with automatic token management and no credential storage required. The new connectMCPTransport subpath export integrates Connect-backed auth that provides fresh tokens before every request and handles consent challenges before the model executes.
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 subpath exports , 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.@vercel/connect/tanstack-aiconnectMCPTransport
If the user has not granted access, fails with a consent challenge before the model runs. Catch it with 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.createMCPClientgetConsentChallenge
Read the to get started, or see the full list of for Vercel Connect.TanStack AI integration docssupported frameworks and adapters
Source: original entry ↗
More from Vercel
Follow Vercel to get its new changes in your feed and email digest.
Muse Wonder now available on AI Gateway
Meta's Muse Wonder model is now accessible through Vercel's AI Gateway, supporting coding tasks, multi-step agent workflows, and computer use with a 1M-token context window. Users can access the model via a single API key without creating a separate Meta account and use it for text, image, PDF processing, tool calling, and structured outputs.
Agents can now buy domains with the Vercel CLI
Vercel CLI now enables agents to discover, check availability, and initiate domain purchases through structured commands, with purchase confirmation remaining under user control via interactive terminal or dashboard approval.
New Pro teams default to 30-day deployment retention
Pro teams now default to a 30-day deployment retention period to balance keeping recent history available while reducing storage costs. You can configure a longer retention period in team settings if needed.