--- title: Agent Resources product: vercel url: /docs/agent-resources canonical_url: "https://vercel.com/docs/agent-resources" last_updated: 2026-09-15 type: conceptual 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: Set up AI coding tools with Vercel documentation, reusable skills, and secure access to projects, deployments, and logs. install_vercel_plugin: npx plugins add vercel/vercel-plugin --- # Agent Resources ## Set up your coding agent for Vercel Give AI coding tools Vercel documentation, reusable skills, and secure access to projects, deployments, and logs. ## 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. - [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 - [How to set up your Next.js project for 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— Learn how to configure your Next.js project so AI coding agents use up-to-date documentation instead of outdated trainin - [Draft content in your voice from Slack with eve](https://vercel.com/kb/guide/eve-content-agent?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Deploy the eve content agent template, a Slack bot that drafts blog posts, LinkedIn posts, release notes, and newsletter - [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 - [Building Slack agents can be easy](https://vercel.com/blog/building-slack-agents-can-be-easy?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) - [Introducing the Vercel plugin for coding agents](https://vercel.com/changelog/introducing-vercel-plugin-for-coding-agents?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) - [Ship It](https://eve.dev/docs/tutorial/ship-it?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Part 8 of the Build an Agent tutorial. Put a web dashboard on the agent with useEveAgent, replace placeholderAuth, and d - [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. - [AI SDK](https://vercel.com/docs/ai-sdk?from=related&source_path=%2Fdocs%2Fagent-resources&source_site=vercel-docs&relationship=related) — Build TypeScript agents and AI applications with a unified API for models, tools, structured output, and streaming. 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) #### Install the plugin ```bash filename="terminal" npx plugins add vercel/vercel-plugin ``` #### Install agent skills ```bash filename="terminal" npx skills add vercel-labs/agent-skills ``` #### Connect Vercel MCP ```bash filename="terminal" npx -y add-mcp https://mcp.vercel.com -g ``` You can also [install AI agents and services from the Vercel Marketplace](/docs/agent-resources/integrations-for-agents) to automate workflows in your projects. ## 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 filename="terminal" 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. ## TanStack Intent [TanStack Intent](https://tanstack.com/intent/latest) loads agent skills from installed dependencies, keeping the guidance aligned with the package version in your project. Use it when building with libraries that publish skills, such as TanStack AI, Start, and Query. Follow the [TanStack Intent setup instructions](/docs/agent-resources/skills#tanstack-intent) to select permitted skills and configure your coding agent. See [Choosing between TanStack Intent and skills](/kb/guide/tanstack-intent-vs-skills) for how the two tools fit into your workflow. ## 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)