How to Use the Alpic MCP in Mastra AI

Build resilient, self-healing agent workflows with Mastra AI and the Alpic MCP server.

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Connect Alpic MCP to Mastra AI

Create your Vinkius account to connect Alpic 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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Setup Alpic with Mastra AI

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Automate Alpic deployments with Mastra AI

Write workflows that react to failures by triggering `deploy_environment` automatically. If a build hits a snag, your agent can inspect the state using `get_deployment`. This creates a feedback loop for your infrastructure. Your agents handle the heavy lifting while you define the logic for success and retry conditions.

Manage complex infrastructure via Mastra AI

Organize your team's projects by listing resources with `list_projects` and `list_teams`. You can build agents that audit your entire setup to ensure no environment is left unconfigured. Centralizing this control keeps your infrastructure consistent. Your agents act as the single point of truth for your infrastructure state.

Debug Alpic environments using Mastra AI

Use `get_project_analytics` to feed health data into your agents. If performance metrics drop, the agent identifies the trend and alerts you. `get_server_info` verifies that your tools are active and ready. Your agent ensures your MCP servers stay operational without manual oversight.

Setup guide

Set up Alpic 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Alpic tools become native Mastra tools.
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: "alpic-mcp-client",
  servers: {
    "alpic-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Why Choose Vinkius

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Common questions about Alpic MCP in Mastra AI

You add the server to your agent definition. The framework automatically detects the available tools, allowing you to include them in your workflow steps.

Definitely. You can build conditional logic that checks deployment status and triggers a new attempt if a failure is detected.

Your project metadata and environment variables are processed within the agent's memory. We enforce strict isolation so your sensitive keys stay protected.

Yes, you can require human confirmation before any destructive action like `delete_project` occurs. This keeps you in the loop for sensitive changes.

You can trigger deployments for dev, staging, or production. Just ensure your agent has the correct project and environment IDs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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