How to Use the Vercel MCP in Mastra AI
Build resilient, multi-step CI/CD pipelines for Vercel using the Mastra AI agent framework.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Vercel MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Vercel tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Vercel MCP today
We host it, we monitor it, we maintain it. You just paste one token.