How to Use the Apperio MCP in Mastra AI

Q: Can I build an automated invoice approval process for Apperio with Mastra AI?

Absolutely. You can create a workflow where the agent uses getinvoicedetails, and if it meets your criteria, it calls approveinvoice. Mastra AI's conditional branching handles any 'if/then' logic you need.

Build resilient, multi-step financial workflows for Apperio using Mastra AI's TypeScript-native agent framework.

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Connect Apperio MCP to Mastra AI

Create your Vinkius account to connect Apperio 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 Apperio with Mastra AI

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Automated Invoice Processing

Create workflows that handle the entire invoice lifecycle in Apperio. Start by fetching new bills with `list_invoices`. Then, for each one, use `get_invoice_details` to check the amount against your business rules. Mastra AI's engine lets you build conditional logic. If an invoice is under a certain threshold, automatically call `approve_invoice`. If it's over, route it for human review by fetching the approval path with `get_invoice_approval_workflow`.

Resilient Matter Organization

Keep your legal matters organized automatically. Set up a Mastra AI agent that periodically runs `list_matters`, checks for new untagged items, and uses business logic to apply the right labels with `tag_matter`. Network issues happen. Mastra AI's built-in retry logic means that if a call to `tag_matter` fails, the agent will try again automatically with exponential backoff. Your workflows keep running without manual intervention.

Your Apperio MCP Server for Mastra AI

Integrating Apperio is simple. Add the Vinkius URL to your `MCPClient` configuration. Mastra AI automatically discovers the ten available tools, from `get_account_check` to `reject_invoice`. You can build complex approval chains that require a human in the loop. Use `requireToolApproval` before your agent calls a sensitive tool like `approve_invoice`, giving your team final say on large payments. This MCP Server makes it possible.

Setup guide

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

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

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

You add the Apperio MCP Server to your Mastra AI client configuration. This exposes tools like `list_invoices` and `approve_invoice` to your agent. You can then use these tools as steps in your conditional workflows.

Absolutely. You can create a workflow where the agent uses `get_invoice_details`, and if it meets your criteria, it calls `approve_invoice`. Mastra AI's conditional branching handles any 'if/then' logic you need.

Mastra AI automatically retries failed operations with exponential backoff. If a call to `tag_matter` or `list_invoices` fails due to a temporary network blip, the agent will try again, making your automation more reliable.

This is a managed MCP Server provided by Vinkius. It connects to the Apperio API on your behalf, and Vinkius handles the hosting, security, and authentication layer.

Vinkius manages authentication, so your agent only needs one endpoint token. You can also use Mastra AI's `requireToolApproval` feature to add a human checkpoint before your agent acts on sensitive invoice or matter data. The server itself is ephemeral and isolated.

Use it with your favorite AI tools

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