How to Use the FirstPromoter MCP in Mastra AI

Q: Can I require human approval before a Mastra AI agent issues a FirstPromoter reward?

Yes, you can use the requireToolApproval option when defining your agent. This pauses the workflow before createreward runs, waiting for an admin to sign off.

Q: Can I build complex branching logic using FirstPromoter and Mastra AI?

You can write conditional logic that checks getpayoutstats and routes high-volume affiliates to premium campaigns. The agent handles the decision-making while the workflow executes the steps.

Q: How does this MCP Server handle sensitive financial metrics?

All financial data retrieved via getpayoutstats is processed strictly in memory within the Vinkius sandbox. No transactional details or payout history are stored or logged outside your local environment.

Automate complex FirstPromoter workflows with Mastra AI agents and conditional branching.

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Connect FirstPromoter MCP to Mastra AI

Create your Vinkius account to connect FirstPromoter 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 FirstPromoter with Mastra AI

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Automated Reward Issuance with Mastra AI

`create_reward` executes automatically within your Mastra AI workflows when a conversion meets your criteria. The agent evaluates incoming leads and issues rewards without human intervention. This MCP Server ensures your payouts are processed instantly. If the initial API call fails, the framework automatically retries with exponential backoff.

Multi-Step Lead Verification

`get_lead` retrieves individual lead details to trigger conditional validation steps in your agent pipeline. The MCP Server provides the raw data your agent needs to analyze lead status and decide whether to approve or flag the referral. You can configure the workflow to require human approval before executing any sensitive operations. This keeps your payout pipeline secure while automating the initial validation steps.

Programmatic Campaign Auditing

`get_campaign_report` provides the raw data needed for your agent to audit active marketing initiatives. The agent compares actual performance against your set targets to flag underperforming programs. The workflow engine can then trigger notifications or adjust commission rates based on these reports. This creates a self-optimizing affiliate program that runs entirely on code.

Setup guide

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

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

const result = await agent.generate(
  "List recent FirstPromoter 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 FirstPromoter. 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.

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Common questions about FirstPromoter MCP in Mastra AI

You define retry policies directly inside your Mastra AI workflow steps. If a call to `list_conversions` fails, the framework automatically retries the operation based on your backoff settings.

Yes, you can use the `requireToolApproval` option when defining your agent. This pauses the workflow before `create_reward` runs, waiting for an admin to sign off.

The framework uses its built-in workflow engine to persist state across steps. This lets your agent fetch a promoter list via `list_promoters` and process payouts hours later.

You can write conditional logic that checks `get_payout_stats` and routes high-volume affiliates to premium campaigns. The agent handles the decision-making while the workflow executes the steps.

All financial data retrieved via `get_payout_stats` is processed strictly in memory within the Vinkius sandbox. No transactional details or payout history are stored or logged outside your local environment.

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