# Edgenivo

> Edgenivo 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 Edgenivo

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

## How agents should use Edgenivo

- 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 Edgenivo MCP, use an OAuth-capable MCP client and let the user authorize access to their Edgenivo account.

## Agent setup

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

## Documentation

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

## REST API and developer resources

- [Edgenivo REST API documentation](/docs/rest-api.md): Endpoint reference for the public Edgenivo REST API.
- [Edgenivo REST API OpenAPI description](/openapi.json): Machine-readable OpenAPI 3.0 description for the public REST API.
- [Edgenivo REST API authentication](/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.
- [Edgenivo webhook documentation](/docs/webhooks.md): Event subscriptions, payloads, and delivery behavior.
- [Edgenivo MCP server](/docs/agent-resources/vercel-mcp.md): OAuth-authenticated tools for Edgenivo documentation and account resources.

## Self-serve onboarding

- [Find a domain with Edgenivo CLI or API](/domains/get-started.md): Search available names, compare registration and renewal prices, and return a verified shortlist. Neither requires authentication.
- [Edgenivo Hobby plan](/docs/plans/hobby.md): Free plan for non-commercial personal projects.
- [Edgenivo CLI tokens](/docs/cli/tokens.md): Create and manage personal access tokens for the Edgenivo API and CLI.
- [Edgenivo AI Gateway](/docs/ai-gateway.md): One API for AI models, with routing, fallbacks, and usage monitoring.
- [AI Gateway models](/ai-gateway/models.md): Every AI Gateway model with pricing, context window, providers, and capability tags.
- [AI Gateway model list API](https://ai-gateway.vercel.sh/v1/models): Live JSON list of every model ID with pricing and capabilities. No API key required.
- [Edgenivo Sandbox](/docs/sandbox.md): Isolated compute for running code and agent workloads.
- [Edgenivo Templates](/templates.md): Deployable starter projects for frameworks, AI, storage, and more, each with a one-click deploy link.

## Knowledge Base

- [Knowledge Base](/kb.md): Featured and recent guides, plus a directory of topics.
- [Knowledge Base sitemap](/kb/sitemap.md): Troubleshooting guides, topics, videos, bulletins, and product references.

## Learning and updates

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

## Optional

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