How to Use the FynCom MCP in Mastra AI

Build resilient reward workflows in Mastra AI that handle payment retries and admin notifications automatically.

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Connect FynCom MCP to Mastra AI

Create your Vinkius account to connect FynCom 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 FynCom with Mastra AI

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Workflow-driven rewards in Mastra AI

Embed `send_reward` into complex Mastra workflows that include conditional branching. If a transaction fails, your agent can automatically retry or escalate the issue to an admin. This prevents lost incentives during network blips. You define the recovery logic once, and the framework executes it consistently.

Agentic balance monitoring for Mastra AI

Set up a background agent that uses `get_wallet_balance` to watch your funding levels. When the balance drops below a set point, the agent triggers an alert in your slack or email channels. It removes the need for manual oversight. You gain visibility into your campaign health without checking the dashboard yourself.

Automated campaign routing in Mastra AI

Use `list_reward_campaigns` to dynamically route users to the correct incentive program. Your agent selects the best campaign based on user metadata provided during the session. This keeps your operations running without manual intervention. It scales as your user base grows.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FynCom. 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

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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 FynCom MCP in Mastra AI

You can enable tool approval in your client config. This forces a human check before any `send_reward` call executes.

Absolutely. You connect the server to your agent, and the workflow engine takes over the execution of all six tools.

The server uses a zero-trust architecture. Agents only access the tools you explicitly permit, and you can audit all actions via the logs.

The framework handles retries natively. If a network error occurs during a tool call, the system attempts to complete the transaction based on your configuration.

The agent receives an error response. You can build a branch in your workflow to log the failure or notify your team immediately.

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