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How to Use the Fintoc MCP in Mastra AI

Build resilient financial workflows and automated bank transfers using Fintoc and Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Fintoc MCP to Mastra AI

Create your Vinkius account to connect Fintoc 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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Conditional payment workflows with Mastra AI

This MCP Server automates bank transfers using `create_payment_intent` and `get_payment_intent` inside your workflow graphs. If a payment fails, your agent automatically retries the operation or branches to a different bank link. You define these steps in code, allowing the workflow engine to handle network hiccups without crashing. The agent handles the execution logic, while Mastra manages the state transitions.

Automated multi-bank reconciliation

This integration coordinates ledger updates using `list_links`, `list_accounts`, and `list_movements` to sync external balances. Your agent runs scheduled cron jobs to pull transaction histories from all connected institutions. The framework handles the rate limits and pagination automatically. This keeps your internal ledger accurate without manual intervention or custom scheduler code.

Secure subscription checks

The server accesses active agreements using `list_subscriptions` and `get_subscription` to monitor recurring costs. Before canceling or modifying any active billing agreement, the agent prompts an operator for manual approval. You configure this barrier using the framework's native approval gate. It ensures your agent never deletes an active bank link or stops a payment without a human checking the action first.

Setup guide

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

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

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

You initialize the MCP Server client with the server URL and call `listTools` to load the capabilities. Then, you spread those tools directly into your agent configuration block.
Yes, you can chain `create_payment_intent` and `get_payment_intent` inside a workflow. The built-in workflow engine handles conditional branching and backoff retries if the bank API returns an error.
You set `requireToolApproval` on sensitive tools like `create_payment_intent`. The agent pauses execution and waits for a manual override before initiating the bank transfer.
Yes, the client automatically detects whether the server uses an MCP transport like Streamable HTTP or SSE. You only need to provide the endpoint URL during initialization.
All financial credentials and account balances are processed in isolated memory spaces that terminate instantly. We never cache or inspect the payloads passing between your agent and the banking API.

Start using the Fintoc MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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