vercel-api

Show SKILL.md content (~2.9k tokens)
---
name: vercel-api
description: Vercel MCP and REST API expert guidance. Use when the agent needs live access to Vercel projects, deployments, environment variables, domains, logs, or documentation through the MCP server or REST API.
metadata:
  priority: 7
  docs:
    - "https://vercel.com/docs/rest-api"
  sitemap: "https://vercel.com/sitemap/docs.xml"
  pathPatterns:
    - '.mcp.json'
    - '.vercel/project.json'
  bashPatterns:
    - '\bnpm\s+(install|i|add)\s+[^\n]*@vercel/sdk\b'
    - '\bpnpm\s+(install|i|add)\s+[^\n]*@vercel/sdk\b'
    - '\bbun\s+(install|i|add)\s+[^\n]*@vercel/sdk\b'
    - '\byarn\s+add\s+[^\n]*@vercel/sdk\b'
    - '\bclaude\s+mcp\s+add\b[^\n]*\bvercel\b'
    - '\bmcp\.vercel\.com\b'
retrieval:
  aliases:
    - vercel rest api
    - vercel mcp
    - platform api
    - vercel sdk
  intents:
    - call vercel api
    - use mcp server
    - manage deployments via api
    - query vercel data
  entities:
    - MCP
    - REST API
    - vercel api
    - deployments
    - domains
chainTo:
  -
    pattern: 'vercel\.deployments\.(create|list)|vercel\.projects\.(create|update)'
    targetSkill: deployments-cicd
    message: 'Vercel SDK deployment/project operations detected — loading CI/CD guidance for deployment workflows, preview URLs, and promotion strategies.'
  -
    pattern: 'mcp\.vercel\.com|claude\s+mcp\s+add.*vercel'
    targetSkill: ai-sdk
    message: 'Vercel MCP server configuration detected — loading AI SDK guidance for MCP client integration and tool calling patterns.'

---

# Vercel API — MCP Server & REST API

You are an expert in the Vercel platform APIs. This plugin bundles a connection to the **official Vercel MCP server** (`https://mcp.vercel.com`) which gives agents live, authenticated access to Vercel resources.

## MCP Server (Public Beta)

The plugin's `.mcp.json` configures the official Vercel MCP server using Streamable HTTP transport with OAuth authentication. The MCP server is in **public beta** — read-only in the initial release. Write operations are on the roadmap. Supported clients: Claude, Cursor, and VS Code.

### Connection

```
URL:       https://mcp.vercel.com
Transport: Streamable HTTP
Auth:      OAuth 2.1 (automatic — agent is prompted to authorize on first use)
```

On first connection the agent will open a browser-based OAuth flow to grant read access to your Vercel account. Subsequent sessions reuse the stored token.

### Available MCP Tools

The Vercel MCP server exposes these tool categories (read-only in initial release):

| Category | Capabilities |
|----------|-------------|
| **Documentation** | Search and navigate Vercel docs, Next.js docs, AI SDK docs |
| **Projects** | List projects, get project details, view project settings |
| **Deployments** | List deployments, inspect deployment details, view build output |
| **Logs** | Query deployment logs, function invocation logs, build logs |
| **Domains** | List domains, check domain configuration and DNS status |
| **Environment Variables** | List env vars per project and environment |
| **Teams** | List teams, view team members and settings |

### Usage Patterns

#### Diagnose a failed deployment

```
1. List recent deployments → find the failed one
2. Inspect deployment → get error summary
3. Query build logs → identify root cause
4. Cross-reference with vercel-functions skill for runtime fixes
```

#### Audit project configuration

```
1. Get project details → check framework, build settings, root directory
2. List environment variables → verify required vars are set per environment
3. List domains → confirm production domain is correctly assigned
4. Check deployment logs → look for runtime warnings
```

#### Search documentation

```
1. Search Vercel docs for a topic → get relevant pages
2. Read specific doc page → extract configuration examples
3. Cross-reference with bundled skills for deeper guidance
```

#### Debug function performance

```
1. Query function logs → find slow invocations
2. Inspect deployment → check function region, runtime, memory
3. Cross-reference with vercel-functions skill for optimization patterns
```

## Deploying Your Own MCP Server

Use the `mcp-handler` package (renamed from `@vercel/mcp-adapter`) to build and deploy custom MCP servers on Vercel with Next.js, Nuxt, or SvelteKit:

```bash
npm install mcp-handler
```

MCP servers deployed on Vercel use **Streamable HTTP** transport (replaced SSE in March 2025 MCP spec) — cuts CPU usage vs SSE with no persistent connections required. Used in production by Zapier, Composio, Vapi, and Solana.

See [Deploy MCP servers to Vercel](https://vercel.com/docs/mcp/deploy-mcp-servers-to-vercel) and [GitHub: mcp-handler](https://github.com/vercel/mcp-handler).

## REST API (Direct Access)

When the MCP server doesn't cover a use case (or for write operations), use the Vercel REST API directly with `@vercel/sdk` or `curl`.

### Authentication

```bash
# Bearer token auth (personal token or team token)
curl -H "Authorization: Bearer $VERCEL_TOKEN" https://api.vercel.com/v9/projects
```

```typescript
// @vercel/sdk
import { Vercel } from '@vercel/sdk';

const vercel = new Vercel({ bearerToken: process.env.VERCEL_TOKEN });
```

### Key Endpoints

| Endpoint | Method | Purpose |
|----------|--------|---------|
| `/v9/projects` | GET | List all projects |
| `/v9/projects/:id` | GET | Get project details |
| `/v13/deployments` | GET | List deployments |
| `/v13/deployments` | POST | Create a deployment |
| `/v13/deployments/:id` | GET | Get deployment details |
| `/v9/projects/:id/env` | GET | List environment variables |
| `/v9/projects/:id/env` | POST | Create environment variable |
| `/v6/domains` | GET | List domains |
| `/v6/domains` | POST | Add a domain |
| `/v1/edge-config` | GET | List Edge Configs |
| `/v1/firewall` | GET | List firewall rules |
| `/v1/drains` | GET | List all drains |
| `/v1/drains` | POST | Create a drain |
| `/v1/drains/:id/test` | POST | Test a drain |
| `/v1/drains/:id` | PATCH | Update a drain |
| `/v1/drains/:id` | DELETE | Delete a drain |
| `/v3/deployments/:id/events` | GET | Stream runtime logs |

### SDK Examples

#### List deployments

```typescript
import { Vercel } from '@vercel/sdk';

const vercel = new Vercel({ bearerToken: process.env.VERCEL_TOKEN });

const { deployments } = await vercel.deployments.list({
  projectId: 'prj_xxxxx',
  limit: 10,
});

for (const d of deployments) {
  console.log(`${d.url} — ${d.state} — ${d.created}`);
}
```

#### Manage environment variables

```typescript
// List env vars
const { envs } = await vercel.projects.getProjectEnv({
  idOrName: 'my-project',
});

// Create env var
await vercel.projects.createProjectEnv({
  idOrName: 'my-project',
  requestBody: {
    key: 'DATABASE_URL',
    value: 'postgres://...',
    target: ['production', 'preview'],
    type: 'encrypted',
  },
});
```

#### Get project domains

```typescript
const { domains } = await vercel.projects.getProjectDomains({
  idOrName: 'my-project',
});

for (const d of domains) {
  console.log(`${d.name} — verified: ${d.verified}`);
}
```

## Observability APIs

### Drains (`/v1/drains`)

Drains forward logs, traces, speed insights, and web analytics data to external endpoints. All drain management is REST API or Dashboard (`https://vercel.com/dashboard/{team}/~/settings/log-drains`) only — no CLI commands exist.

```typescript
import { Vercel } from '@vercel/sdk';

const vercel = new Vercel({ bearerToken: process.env.VERCEL_TOKEN });

// List all drains
const drains = await vercel.logDrains.getLogDrains({ teamId: 'team_xxxxx' });

// Create a drain
await vercel.logDrains.createLogDrain({
  teamId: 'team_xxxxx',
  requestBody: {
    url: 'https://your-endpoint.example.com/logs',
    type: 'json',
    sources: ['lambda', 'edge', 'static'],
    environments: ['production'],
  },
});
```

> For payload schemas (JSON, NDJSON), signature verification, and vendor integration setup, see `⤳ skill: observability`.

### Runtime Logs (`/v3/deployments/:id/events`)

Stream runtime logs for a deployment. The response uses `application/stream+json` — each line is a separate JSON object. Always set a timeout to avoid hanging on long-lived streams.

```typescript
// Query via MCP (recommended for agents)
// Use the get_runtime_logs MCP tool for structured log access

// Direct REST alternative (streaming)
const res = await fetch(
  `https://api.vercel.com/v3/deployments/${deploymentId}/events`,
  { headers: { Authorization: `Bearer ${process.env.VERCEL_TOKEN}` } }
);
// Parse as NDJSON — see observability skill for streaming code patterns
```

## `vercel api` CLI Command (January 2026)

The `vercel api` command gives agents direct access to the full Vercel REST API from the terminal with no additional configuration. It uses the CLI's existing authentication, so agents like Claude Code can call any endpoint immediately.

```bash
# Call any REST endpoint directly
vercel api GET /v9/projects
vercel api GET /v13/deployments
vercel api POST /v9/projects/:id/env --body '{"key":"MY_VAR","value":"val","target":["production"]}'
```

This bridges the gap between the read-only MCP server and the full REST API — agents can perform write operations without needing `@vercel/sdk` or manual `curl` with tokens.

## When to Use MCP vs CLI vs REST API

| Scenario | Use | Why |
|----------|-----|-----|
| Agent needs to inspect/read Vercel state | **MCP server** | OAuth, structured tools, no token management |
| Agent needs to deploy or mutate state | **CLI** (`vercel deploy`, `vercel env add`) | Full write access, well-tested |
| Agent needs ad-hoc API access | **`vercel api`** | Direct REST from terminal, no token setup |
| Programmatic access from app code | **REST API / @vercel/sdk** | TypeScript types, fine-grained control |
| CI/CD pipeline automation | **CLI + VERCEL_TOKEN** | Scriptable, `--prebuilt` for speed |
| Searching Vercel documentation | **MCP server** | Indexed docs, AI-optimized results |

## Cross-References

- **CLI operations** → `⤳ skill: vercel-cli`
- **Function configuration** → `⤳ skill: vercel-functions`
- **Storage APIs** → `⤳ skill: vercel-storage`
- **Firewall rules** → `⤳ skill: vercel-firewall`
- **AI SDK MCP client** → `⤳ skill: ai-sdk` (section: MCP Integration)
- **Drains, log streaming, analytics export** → `⤳ skill: observability`

## Official Documentation

- [Vercel MCP](https://vercel.com/docs/mcp)
- [Vercel REST API](https://vercel.com/docs/rest-api/reference)
- [@vercel/sdk](https://www.npmjs.com/package/@vercel/sdk)
- [MCP Authorization Spec](https://spec.modelcontextprotocol.io)
- [GitHub: Vercel SDK](https://github.com/vercel/sdk)
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