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How to Use the Vercel MCP in Mastra AI

Build resilient, multi-step CI/CD pipelines for Vercel using the Mastra AI agent framework.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Vercel MCP to Mastra AI

Create your Vinkius account to connect Vercel to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Project Lifecycle Management with MCP Server

The `create_project` tool lets your agent establish a new project within Vercel, requiring just a name and framework slug. After creation, the workflow can immediately use `get_project_details` to confirm the initial setup parameters. This makes setting up complex environments reliable.

Triggering Builds for Mastra AI

To initiate a deployment run, your agent calls `trigger_github_deployment`, feeding it both the project name and the Git ref. This action is critical for workflows that need to simulate production builds. The agent can then follow up by calling `list_deployments` to track success.

Checking Vercel Project Status

If you need to check what aliases are active, use the `list_project_aliases` tool. Alternatively, running `get_deployment_details` provides a deep dive into how a specific deployment ran, which is vital for debugging complex multi-step processes.

Setup guide

Set up Vercel MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Vercel tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "vercel-mcp-client",
  servers: {
    "vercel-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Vercel Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Vercel tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Vercel transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vercel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vercel MCP in Mastra AI

Mastra AI treats the build process as an action within a workflow. You can define steps: Trigger -> Wait for status -> Check logs via `list_deployments`. This handles failure and retry logic automatically.
Yes, the `delete_project` tool allows permanent removal of a project. Remember that this action is irreversible, so ensure your workflow confirms deletion intent first.
The agent needs proper authentication tokens to access the MCP Server endpoints. This allows it to execute project creation (`create_project`) and trigger builds from external systems.
This server works with project configuration, deployment execution details, account domains, and specific subdomain routing mappings. It controls the state of your infrastructure.
The `list_projects` tool fetches a complete list of every project associated with your account. This is the starting point for any comprehensive workflow that manages multiple applications.

Start using the Vercel MCP today

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