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How to Use the Brankas MCP in Mastra AI

Build resilient finance workflows in Mastra AI using the Brankas MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Brankas MCP to Mastra AI

Create your Vinkius account to connect Brankas 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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Complex disbursement logic in Mastra AI

Chain multiple steps to move money securely. Use `inter_bank_transfer` or `intra_bank_transfer` as part of a larger agent workflow that validates amounts before executing. If a transfer fails, the Mastra workflow engine triggers a retry. You keep the process moving without manual intervention.

Monitor status with Mastra AI agents

Track the lifecycle of your payouts using `get_transfer_status`. The agent queries this tool until the transaction hits a terminal state. This keeps your back-office data accurate. You don't have to poll manually when the agent does the heavy lifting.

Conditional financial automation

Set up rules to trigger actions based on account data. If `get_balance` returns a specific value, the agent initiates a payout automatically. You define the logic in your Mastra agent definitions. The server executes the commands based on your pre-set conditions.

Setup guide

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

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

const result = await agent.generate(
  "List recent Brankas 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 Brankas. 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 Brankas MCP in Mastra AI

You add the server to your agent config. Once connected, spread the tools into your agent toolset to make them available for the workflow engine.
Your bank identity data is never stored on disk. The agent holds it in memory only for the duration of the workflow execution.
Yes, you can define retry logic in your Mastra workflow steps. If the server returns a transient error, the agent will try the transfer again.
The server handles the secure token exchange. You just pass your endpoint key to the client configuration.
It checks the status using the dedicated status tools. You can set up a listener in your workflow to alert an admin once the transaction completes.

Start using the Brankas MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Brankas. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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