# Cross-link map: AI SDK with MCP (/docs/mcp/integrations/ai-sdk)

> From the Vercel docs graph (built 2026-10-25T05:42:30.284Z), spanning vercel.com docs + KB, nextjs.org, ai-sdk.dev, and other Vercel documentation sites. Full graph as JSON: https://vercel.com/docs/graph.json

## Semantically closest pages

- [TanStack AI with MCP](https://vercel.com/docs/mcp/integrations/tanstack-ai) — Connect TanStack AI to a Model Context Protocol server on Vercel and call its tools with models served through AI Gatewa
- [Deploy MCP servers to Vercel](https://vercel.com/docs/mcp/deploy-mcp-servers-to-vercel) — Learn how to deploy Model Context Protocol \\(MCP\\) servers on Vercel with OAuth authentication and efficient scaling.
- [AI SDK and MCP with Vercel Connect](https://vercel.com/docs/connect/frameworks/ai-sdk-and-mcp) — Connect an AI SDK app to an OAuth-protected MCP server with Vercel Connect, then handle user consent and tool approval.
- [Model Context Protocol](https://vercel.com/docs/mcp) — Learn more about MCP and how you can use it on Vercel.
- [Use Vercel](https://vercel.com/docs/agent-resources/vercel-mcp) — Vercel MCP has tools available for searching docs, managing teams, projects, and deployments, and querying Web Analytics

## Prerequisites

- [Integrations](https://vercel.com/docs/agent-resources/vercel-mcp/tools/integrations) — Vercel MCP tools for integrations.

## This page links to (10)

- [Vercel AI Gateway: Models, Routing, and Observability](https://vercel.com/docs/ai-gateway) — Call AI models from any infrastructure through a managed gateway. Centralize credentials, request logs, spend budgets, r
- [AI Gateway API Keys](https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys) — Create, view, and delete AI Gateway API keys, and set each key's budget and spend attribution, from the dashboard, CLI,
- [AI SDK with AI Gateway](https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk) — Build AI-powered TypeScript applications using the AI SDK with AI Gateway for unified access to 400+ models.
- [AI SDK](https://vercel.com/docs/ai-sdk) — Build TypeScript agents and AI applications with a unified API for models, tools, structured output, and streaming.
- [AI SDK and MCP with Vercel Connect](https://vercel.com/docs/connect/frameworks/ai-sdk-and-mcp) — Connect an AI SDK app to an OAuth-protected MCP server with Vercel Connect, then handle user consent and tool approval.
- [Deployment Protection on Vercel](https://vercel.com/docs/deployment-protection) — Learn how to control access to your Vercel project's preview and production URLs with Deployment Protection. Configure p
- [Protection Bypass for Automation](https://vercel.com/docs/deployment-protection/methods-to-bypass-deployment-protection/protection-bypass-automation) — Learn how to bypass Vercel Deployment Protection for automated tooling \\(e.g. E2E testing\\).
- [Model Context Protocol](https://vercel.com/docs/mcp) — Learn more about MCP and how you can use it on Vercel.
- [Deploy MCP servers to Vercel](https://vercel.com/docs/mcp/deploy-mcp-servers-to-vercel) — Learn how to deploy Model Context Protocol \\(MCP\\) servers on Vercel with OAuth authentication and efficient scaling.
- [MCP Integrations](https://vercel.com/docs/mcp/integrations) — Connect AI SDK, TanStack AI, and eve applications to MCP servers to discover and call tools.

## Pages that link here (2)

By site: vercel-docs (2)

- [Deploy MCP servers to Vercel](https://vercel.com/docs/mcp/deploy-mcp-servers-to-vercel) — Learn how to deploy Model Context Protocol \\(MCP\\) servers on Vercel with OAuth authentication and efficient scaling.
- [MCP Integrations](https://vercel.com/docs/mcp/integrations) — Connect AI SDK, TanStack AI, and eve applications to MCP servers to discover and call tools.