How to Use the Alpaca Trading MCP in Mastra AI

Q: How does the Alpaca Trading tool approval work in Mastra AI?

You enable requireToolApproval for critical functions like order creation. This forces the agent to pause and wait for your explicit input before finalizing a trade.

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Connect Alpaca Trading MCP to Mastra AI

Create your Vinkius account to connect Alpaca Trading 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 Alpaca Trading with Mastra AI

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Automated Alpaca Trading Logic in Mastra AI

Create conditional workflows that trigger `create_order` based on your specific market criteria. You build the logic, and Mastra AI handles the execution flow. If a trade fails, you can set up automatic retries within your workflow engine. This keeps your strategy moving even if the network blips.

Mastra AI Workflow for Brokerage Management

Use `get_broker_account` to verify your balance before initiating a series of trades. You define the sequence of events and handle potential errors in one place. Your agent can check your account status and branch the workflow accordingly. It ensures your operations remain within your defined risk parameters.

Deploy Alpaca Trading Agents with Mastra AI

Deploy complex trading bots that utilize `get_assets` and `get_crypto_bars` to inform decision-making. You write the code, and Mastra AI manages the deployment lifecycle. The system supports human-in-the-loop approvals for sensitive actions like large trades. You get the speed of automation with the safety of manual oversight.

Setup guide

Set up Alpaca Trading 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 Alpaca Trading 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: "alpaca-trading-mcp-client",
  servers: {
    "alpaca-trading-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Alpaca Trading MCP in Mastra AI

Use the built-in retry and branching logic of the agent framework. If `create_order` fails, you can redirect the workflow to notify you or attempt a different asset.

Yes, you can define separate tool instances for different credentials. You simply map each agent to its respective account endpoint within your workflow configuration.

The connection uses encrypted transport protocols for all data transmission. You define the authentication scope to limit what the agent can access in your brokerage.

You enable `requireToolApproval` for critical functions like order creation. This forces the agent to pause and wait for your explicit input before finalizing a trade.

The server processes your trading logs, account balances, and order status. We ensure this sensitive financial information is kept private and never exposed to unauthorized workflows.

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