# Vercel

> Vercel is a cloud platform for building, deploying, and scaling web applications and AI workloads.

Use this index to find machine-readable documentation and platform resources. Follow the linked indexes when you need individual pages.

## When to use Vercel

- Deploy and scale web applications, APIs, and AI workloads from a Git repository or the Vercel CLI.
- Automate projects, deployments, domains, and account resources through the Vercel REST API or SDK.
- Connect an authenticated AI assistant to Vercel projects, deployments, logs, analytics, and documentation through Vercel MCP.
- Route AI requests across providers through Vercel AI Gateway, with automatic fallbacks, spending controls, usage monitoring, and no markup on token prices.
- Run untrusted or agent-generated code in isolated Vercel Sandboxes.

## How agents should use Vercel

- For research, fetch the Markdown documentation indexes below and follow their links to individual Markdown pages.
- For REST API calls, read the OpenAPI description and authentication documentation before choosing an operation. Ask for approval before changing account resources.
- For Vercel MCP, use an OAuth-capable MCP client and let the user authorize access to their Vercel account.

## Agent setup

- [Set up Vercel for your coding agent](https://vercel.com/get-started.md): Follow the agent playbook to install the CLI, add Vercel guidance, and connect Vercel MCP.
- [Getting started with Vercel](https://vercel.com/docs/getting-started-with-vercel.md?from=llms-txt): Install the Vercel CLI, add the Vercel plugin or Vercel Skills, and deploy your first project.
- [Vercel plugin](https://vercel.com/docs/agent-resources/vercel-plugin.md?from=llms-txt): Install with `npx plugins add vercel/vercel-plugin` for Vercel skills, commands, and specialist agents.
- [Vercel Skills](https://vercel.com/docs/agent-resources/skills.md?from=llms-txt): Browse and install individual skills for coding agents that do not support the plugin.

## Documentation

- [Vercel product documentation](https://vercel.com/docs/products.md): Curated product index with links to documentation.
- [Documentation sitemap](https://vercel.com/docs/sitemap.md): Documentation pages with summaries and prerequisites.
- [Full documentation content](https://vercel.com/docs/llms-full.txt): Complete documentation and REST API reference in one file.

## REST API and developer resources

- [Vercel REST API documentation](https://vercel.com/docs/rest-api.md): Endpoint reference for the public Vercel REST API.
- [Vercel REST API OpenAPI description](https://vercel.com/openapi.json): Machine-readable OpenAPI 3.0 description for the public REST API.
- [Vercel REST API authentication](https://vercel.com/docs/accounts/access-tokens.md#use-a-scoped-token-with-the-api): Create scoped access tokens and use them as Bearer tokens in API requests.
- [Vercel webhook documentation](https://vercel.com/docs/webhooks.md): Event subscriptions, payloads, and delivery behavior.
- [Vercel MCP server](https://vercel.com/docs/agent-resources/vercel-mcp.md): OAuth-authenticated tools for Vercel documentation and account resources.

## Self-serve onboarding

- [Find a domain with Vercel CLI](https://vercel.com/domains/get-started.md): Search available names, compare registration and renewal prices, and return a verified shortlist.
- [Vercel Hobby plan](https://vercel.com/docs/plans/hobby.md): Free plan for non-commercial personal projects.
- [Vercel CLI tokens](https://vercel.com/docs/cli/tokens.md): Create and manage personal access tokens for the Vercel API and CLI.
- [Vercel AI Gateway](https://vercel.com/docs/ai-gateway.md): One API for AI models, with routing, fallbacks, and usage monitoring.
- [Vercel Sandbox](https://vercel.com/docs/sandbox.md): Isolated compute for running code and agent workloads.

## Knowledge Base

- [Knowledge Base sitemap](https://vercel.com/kb/sitemap.md): Troubleshooting guides, topics, videos, bulletins, and product references.

## Learning and updates

- [Vercel Academy](https://vercel.com/academy/llms.txt): Courses and learning paths.
- [Vercel Blog sitemap](https://vercel.com/blog/sitemap.md): Articles, engineering posts, and product announcements.
- [Vercel Changelog sitemap](https://vercel.com/changelog/sitemap.md): Product updates and release notes.

## Optional

- [Agent resource catalog](https://vercel.com/.well-known/ai-catalog.json): Experimental catalog of agent-facing resources.
- [Product taxonomy](https://vercel.com/docs/taxonomy.json): Canonical product names, aliases, and deprecations.
- [Documentation graph](https://vercel.com/docs/graph.json): Cross-site links, prerequisites, semantic neighbors, and related pages.