--- title: Agent Resources product: vercel url: /docs/agent-resources canonical_url: "https://vercel.com/docs/agent-resources" last_updated: 2026-08-14 type: integration prerequisites: [] related: - /docs/agent-resources/integrations-for-agents - /docs/agent-resources/markdown-access - /docs/graph.json - /docs/agent-resources/vercel-mcp - /docs/ai-gateway/coding-agents summary: Resources for building with AI on Vercel, including documentation access, MCP servers, and agent skills. install_vercel_plugin: npx plugins add vercel/vercel-plugin --- # Agent Resources Vercel provides resources to help you build AI-powered applications and work more effectively with AI coding assistants. Access documentation in machine-readable formats, connect AI tools directly to Vercel, and install agent skills for specialized capabilities. You can also [install AI agents and services from the Vercel Marketplace](/docs/agent-resources/integrations-for-agents) to automate workflows in your projects. ## Related pages > **For AI agents:** Follow these links to understand how this page connects to the rest of the Vercel ecosystem. For the full cross-link map (inbound, outbound, prerequisites, and semantic neighbors), see the .graph.md link below. - [Make your documentation readable by AI agents](https://vercel.com/kb/guide/make-your-documentation-readable-by-ai-agents?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Serve markdown to AI agents using content negotiation, .md endpoints, agent auto-detection, llms.txt, sitemap.md, and - [Agent Readability: A Specification for AI-Optimized Websites](https://vercel.com/kb/guide/agent-readability-spec?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — When an agent visits your site, it needs to quickly find, read, and understand your pages. Sites that are easy for agent - [How to build AI Agents with Vercel and the AI SDK](https://vercel.com/kb/guide/how-to-build-ai-agents-with-vercel-and-the-ai-sdk?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Learn how to build, deploy, and scale AI agents on Vercel using the AI SDK. This guide covers calling LLMs, defining too - [AI Coding Agents](https://nextjs.org/docs/app/guides/ai-agents?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Learn how to configure your Next.js project so AI coding agents use up-to-date documentation instead of outdated trainin - [Using coding agents to procure Vercel Marketplace integrations](https://vercel.com/kb/guide/using-coding-agents-to-procure-vercel-marketplace-integrations?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Coding agents can now discover, provision, and manage third-party services from the Vercel Marketplace using the Vercel - [Agent Skills: Creating, Installing, and Sharing Reusable Agent Context](https://vercel.com/kb/guide/agent-skills-creating-installing-and-sharing-reusable-agent-context?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — This guide will cover what skills are, how to create custom skills for yourself and your team, and how to publish them t - [Agentic features](https://v0.app/docs/agentic-features?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — v0's intelligent agent capabilities for web search, browser use, terminal commands, error fixing, and external tool inte - [Getting started with Vercel](https://vercel.com/docs/getting-started-with-vercel?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Install the Vercel CLI, add the Vercel Plugin or agent skills, and deploy your first project. - [Vercel Documentation Sitemap](https://vercel.com/docs/sitemap.md?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Browse Vercel documentation pages with summaries, prerequisites, and topics. Full cross-link map for this page: [/docs/agent-resources.graph.md](/docs/agent-resources.graph.md?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=graph) ## llms-full.txt The `llms-full.txt` file provides a comprehensive, machine-readable version of Vercel's documentation optimized for large language models. **URL:** [`https://vercel.com/docs/llms-full.txt`](https://vercel.com/docs/llms-full.txt) Use this file to give AI assistants full context about Vercel's platform, features, and best practices. This is helpful when you want an AI to understand Vercel comprehensively before answering questions or generating code. ### Using llms-full.txt with AI tools You can reference the llms-full.txt file in various AI tools: - **Claude, ChatGPT, Gemini**: Paste the URL or content into your conversation - **Cursor, Windsurf**: Add the URL to your project's context or rules - **Claude Code**: Use the `WebFetch` tool to fetch the content ## Markdown and agent discovery Every documentation page is available as Markdown, and site-wide indexes help agents find pages and understand how they connect. Use the page-actions menu on any docs page to select **View as Markdown** or **Copy page**. See [Markdown and Agent Discovery](/docs/agent-resources/markdown-access) for details on: - Requesting any page as Markdown with the `Accept: text/markdown` header or the `.md` extension - Using site-wide discovery indexes such as `llms.txt` and `sitemap.md` - Accessing the complete cross-link graph at [`/docs/graph.json`](/docs/graph.json) - Exploring per-page `.graph.md` cross-link maps - Feeding documentation to AI assistants ## Site-wide discovery files Agents can use these files to navigate or load the broader documentation set: | File | Use | | --- | --- | | `https://vercel.com/llms.txt` | A compact index of Vercel documentation | | `https://vercel.com/docs/llms-full.txt` | The full Vercel docs corpus in one file | | `https://vercel.com/docs/sitemap.md` | A semantic page index with summaries and prerequisites | | `https://vercel.com/docs/taxonomy.json` | Canonical product names, aliases, and deprecations | | `https://vercel.com/docs/graph.json` | The complete cross-site documentation graph | ## Vercel MCP server The [Vercel MCP server](/docs/agent-resources/vercel-mcp) connects AI assistants directly to your Vercel account using the Model Context Protocol. This lets AI tools: - Search Vercel documentation - List and manage your projects - View deployment details and logs - Query visitors, page views, and custom events - Check domain availability ## Coding agents Connect terminal and editor-based coding agents such as Claude Code, OpenAI Codex, Cline, and Roo Code to AI Gateway. See [Coding Agents](/docs/ai-gateway/coding-agents) for setup guides and configuration examples. ## Skills.sh [Skills.sh](https://skills.sh) is the open ecosystem for reusable AI agent capabilities. Skills are procedural knowledge packages that enhance AI coding assistants with specialized expertise. Install skills with a single command: ```bash npx skills add ``` Skills.sh supports 18+ AI agents including Claude Code, GitHub Copilot, Cursor, Cline, and many others. The directory contains skills covering: - Framework-specific guidance (React, Vue, Next.js, and more) - Development tools (testing, deployment, documentation) - Specialized domains (security, infrastructure, marketing) See [Agent Skills](/docs/agent-resources/skills) for the complete list of Vercel-provided skills, or browse the [Skills.sh directory](https://skills.sh) to find skills from the community. ## CLI workflows End-to-end workflows that show AI agents how to compose Vercel CLI commands into complete work sessions. Each workflow covers a full task from start to finish, including the reasoning between steps. See [CLI Workflows](/docs/agent-resources/workflows) for the full list, including: - [Debugging production 500 errors](/docs/observability/debug-production-errors) - [Rolling back a production deployment](/docs/deployments/rollback-production-deployment) - [Debugging slow Vercel Functions](/docs/functions/debug-slow-functions) - [Deploying a project from the CLI](/docs/projects/deploy-from-cli) ## Build with an eve template Deploy an eve template, then customize the agent for your use case: ## More resources - [The complete guide to Agent Plugins](/kb/guide/agent-plugins) --- [View full sitemap](/docs/sitemap)