How to Use the Zixflow MCP in Mastra AI

Q: Can I automate Zixflow transactions with Mastra AI?

Absolutely. You can build workflows around listwallettransactions to monitor payment cycles and automatically retry failed payments using built-in error handling.

Q: How does the MCP Server handle failure when working with Zixflow and Mastra AI?

Mastra AI supports automatic retries. If a tool call like updatecollectionrecord fails, your workflow can automatically wait and try again using exponential backoff.

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Connect Zixflow MCP to Mastra AI

Create your Vinkius account to connect Zixflow 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 Zixflow with Mastra AI

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Perplexity

Complex Workflows via the MCP Server

The `list_wallet_transactions` tool lets your agent pull a history of all payments. You can build complex workflows that check transaction status, and if it fails, trigger an automatic retry with exponential backoff. This capability means you don't just run single steps; you define full business processes that handle failure gracefully from start to finish.

Zixflow Data Handling in Mastra AI

To get contact details, simply call `get_record_details`. You can wrap this tool inside a conditional branch: if the record is incomplete, send an alert to an admin. Otherwise, proceed with the next step. This robust, multi-step logic means your automation doesn't fail because of edge cases; it adjusts.

Managing Collections using Mastra AI

The `create_collection_record` tool lets your agent automatically file new lead records into the correct collection. This is perfect for intake workflows where you're capturing data from multiple sources. Mastra AI ensures that this record creation happens reliably, even if external services are temporarily unavailable.

Setup guide

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

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

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

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Common questions about Zixflow MCP in Mastra AI

Absolutely. You can build workflows around `list_wallet_transactions` to monitor payment cycles and automatically retry failed payments using built-in error handling.

Mastra AI supports automatic retries. If a tool call like `update_collection_record` fails, your workflow can automatically wait and try again using exponential backoff.

The server manages 'contact records and transactions'. You use these tools to read details, write updates, and list transaction history for complete visibility.

Yes. Its built-in workflow engine lets you define conditional paths—for instance, only proceeding to step three if a record passed validation in step two.

The server manages 'contact records and transactions' data. All operations are secured by requiring an endpoint token for every tool invocation.

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