How to Use the Mambu MCP in Mastra AI

Q: Can I use Mambu tools with Mastra AI human-in-the-loop?

Yes, use the requireToolApproval setting in your client config. This forces the agent to stop and ask you for confirmation before executing sensitive banking operations.

Q: How do I monitor Mambu tasks in a Mastra AI flow?

You integrate the listtasks tool into your agent's toolset. It then becomes a standard part of your workflow engine's decision-making process.

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Connect Mambu MCP to Mastra AI

Create your Vinkius account to connect Mambu 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 Mambu with Mastra AI

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Automated loan account management

Trigger `get_loan_account` within your Mastra workflows to verify status before proceeding with an action. If the account is locked, your logic can branch immediately to a notification step. This keeps your banking operations consistent. You define the flow, and the agent handles the data lookup.

Conditional task processing

Use `list_tasks` to identify pending work items for specific clients. You can build a workflow that automatically assigns or updates these tasks based on external triggers. Your agents won't miss a beat. They check the Mambu queue, evaluate the priority, and act without manual intervention.

Reliable transaction reconciliation

Fetch ledger history using `list_transactions` to audit account balances during a workflow execution. If an unexpected gap appears, your Mastra agent can pause and flag it. This approach reduces the chance of manual errors. You treat the banking data as just another step in your automated agent pipeline.

Setup guide

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

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

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

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Common questions about Mambu MCP in Mastra AI

You can configure your agent workflows to use automatic retries with exponential backoff. This ensures that a temporary network blip doesn't kill your banking process.

Yes, use the `requireToolApproval` setting in your client config. This forces the agent to stop and ask you for confirmation before executing sensitive banking operations.

It is. Since Mastra supports standard MCP transports, you point your agent at the server URL and start calling functions immediately.

You integrate the `list_tasks` tool into your agent's toolset. It then becomes a standard part of your workflow engine's decision-making process.

The server uses a zero-trust model for all operations. Your sensitive loan and deposit records are transmitted over encrypted channels only when the agent specifically requests them.

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