Vercel MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vercel through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Vercel, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Vercel MCP Server
Embed your Vercel continuous integration ecosystem into the mind of your AI agent. Perform advanced DevOps commands via chat, bypassing the Vercel web UI and checking application states natively within your IDE.
The Vercel AI SDK gives every Vercel tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Project Control — Command your assistant to list your current architecture portfolio, examine Git environment settings, or spin up new Vercel boundary projects dynamically from the chat window.
- Deployment Management — Trace live builds. Request the active CI/CD execution status on recent commits, fetch preview URLs upon build completion, or ruthlessly cancel stalled serverless compilations.
- Manual Deploy Triggers — Skip the Github pushes. You can explicitly command a forced build on specific repository tags directly through the MCP integration when hot-fixing.
- Domain Auditing — Ask the agent to map out the DNS and SSL status of your custom root domains, parsing current subdomain routing alias tables clearly.
The Vercel MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Vercel to Vercel AI SDK via MCP
Follow these steps to integrate the Vercel MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Vercel and passes them to the LLM
Why Use Vercel AI SDK with the Vercel MCP Server
Vercel AI SDK provides unique advantages when paired with Vercel through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Vercel integration everywhere
Built-in streaming UI primitives let you display Vercel tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vercel + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vercel MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vercel in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vercel tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vercel capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vercel through natural language queries
Vercel MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Vercel to Vercel AI SDK via MCP:
cancel_active_build
Aborts an ongoing Vercel compilation pipeline
create_project
Provide a name and framework slug. Creates a new Vercel project
delete_project
This action is irreversible. Permanently removes a Vercel project
get_deployment_details
Retrieves details for a specific deployment execution
get_project_details
Retrieves detailed configuration for a specific project
list_account_domains
Lists high-level apex domains managed by Vercel
list_deployments
Lists recent CI/CD builds for a specific project
list_project_aliases
Lists specific subdomain routing mappings for a project
list_projects
Lists all Vercel projects in the account
trigger_github_deployment
Provide the project name and Git ref. Triggers a new Vercel build from a specific GitHub reference
Example Prompts for Vercel in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vercel immediately.
"List all root domains connected to my Vercel infrastructure."
"Create a manual deploy on the 'billing-service' project pulling directly from the 'main' branch on GitHub repo '341xyz'."
"Check the status of deployment 'dpl_827a' and give me its exact live preview URL if ready."
Troubleshooting Vercel MCP Server with Vercel AI SDK
Common issues when connecting Vercel to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVercel + Vercel AI SDK FAQ
Common questions about integrating Vercel MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Vercel with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vercel to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.