# Cross-link map: Deploy MCP servers to Vercel (/docs/mcp/deploy-mcp-servers-to-vercel)

> From the Vercel docs graph (built 2026-10-29T06:02:06.399Z), 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

- [Model Context Protocol](https://vercel.com/docs/mcp) — Learn more about MCP and how you can use it on Vercel.
- [MCP server support on Vercel](https://vercel.com/changelog/mcp-server-support-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
- [Introducing Vercel MCP: Connect Vercel to your AI tools](https://vercel.com/blog/introducing-vercel-mcp-connect-vercel-to-your-ai-tools)
- [AI SDK with MCP](https://vercel.com/docs/mcp/integrations/ai-sdk) — Connect the AI SDK to an MCP server on Vercel, discover its tools, and call them with models served through AI Gateway.

## This page links to (14)

- [Tool Calling](https://ai-sdk.dev/docs/ai-sdk-core/tools-and-tool-calling) — Learn about tool calling and multi-step calls (using stopWhen) with AI SDK Core.
- [MCP server support on Vercel](https://vercel.com/changelog/mcp-server-support-on-vercel)
- [Vercel Connect](https://vercel.com/docs/connect) — Give your agents and services secure, short-lived access to third-party APIs like Slack, GitHub, Microsoft, and Snowflak
- [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
- [Fluid compute](https://vercel.com/docs/fluid-compute) — Learn about fluid compute, an execution model for Vercel Functions that provides a more flexible and efficient way to ru
- [Vercel Functions](https://vercel.com/docs/functions) — Build API routes, webhooks, and agent request handlers with Vercel Functions, then test and debug them with Vercel CLI.
- [What is Compute?](https://vercel.com/docs/fundamentals/what-is-compute) — Learn how compute works on Vercel with Fluid compute, and how it compares to traditional server and serverless models.
- [Performing an Instant Rollback on a Deployment](https://vercel.com/docs/instant-rollback) — Learn how to perform an Instant Rollback on your production deployments and quickly roll back to a previously deployed p
- [AI SDK with MCP](https://vercel.com/docs/mcp/integrations/ai-sdk) — Connect the AI SDK to an MCP server on Vercel, discover its tools, and call them with models served through AI Gateway.
- [eve with MCP](https://vercel.com/docs/mcp/integrations/eve) — Give eve agents access to MCP tools through filesystem connections and authorize requests with Vercel Connect.
- [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
- [Rolling Releases](https://vercel.com/docs/rolling-releases) — Learn how to use Rolling Releases for more cautious deployments.
- [Vercel Firewall](https://vercel.com/docs/vercel-firewall) — Learn how Vercel Firewall helps protect your applications and websites from malicious attacks and unauthorized access.
- [How to perform large-scale data analysis with Vercel Sandbox and MCP](https://vercel.com/kb/guide/large-scale-data-analysis-vercel-sandbox-mcp) — Use Vercel Sandbox and an MCP server built with \\`mcp-handler\\` to let AI agents run DuckDB SQL and Python on large data

## Pages that link here (6)

By site: vercel-kb (2) · vercel-docs (4)

### From vercel-kb

- [How to perform large-scale data analysis with Vercel Sandbox and MCP](https://vercel.com/kb/guide/large-scale-data-analysis-vercel-sandbox-mcp) — Use Vercel Sandbox and an MCP server built with \\`mcp-handler\\` to let AI agents run DuckDB SQL and Python on large data
- [Build a ChatGPT Connector \\(MCP server\\)](https://vercel.com/kb/guide/mcp-server-chatgpt-connector) — Build a ChatGPT MCP server with mcp-handler and Fluid compute. Add search, fetch, and OAuth, deploy to Vercel, then vali

### From vercel-docs

- [Model Context Protocol](https://vercel.com/docs/mcp) — Learn more about MCP and how you can use it on Vercel.
- [MCP Integrations](https://vercel.com/docs/mcp/integrations) — Connect AI SDK, TanStack AI, and eve applications to MCP servers to discover and call tools.
- [AI SDK with MCP](https://vercel.com/docs/mcp/integrations/ai-sdk) — Connect the AI SDK to an MCP server on Vercel, discover its tools, and call them with models served through AI Gateway.
- [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