How to Use the Evoliz MCP in Mastra AI

Q: How do I register the Evoliz MCP tools in Mastra AI?

Install @mastra/mcp@latest and create a new MCP client with your Evoliz URL. Call mcpClient.listTools() and spread the results into your agent's tool array.

Q: Can Mastra AI handle rate limits when querying Evoliz invoices?

Yes. If listinvoices fails due to API limits, Mastra AI uses built-in exponential backoff to retry the request automatically.

Manage complex French billing workflows in Mastra AI using the Evoliz MCP server. Handle compliance, retries, and conditional logic.

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Connect Evoliz MCP to Mastra AI

Create your Vinkius account to connect Evoliz 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 Evoliz with Mastra AI

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Automate Conditional Billing Workflows

Build a workflow that pulls a customer record via `get_client` and decides whether to issue a new charge. Mastra AI excels at conditional branching for these exact scenarios. If the Evoliz API hits a rate limit during a massive `list_invoices` sync, Mastra automatically catches the failure. Its exponential backoff system retries the request until the accounting records update successfully.

Sync Accounting Data to Cloud Storage

Your agent runs scheduled jobs using `list_quotes` and `list_clients` to export French tax data. Deploy Mastra AI agents to any cloud provider with a single command. The agent processes the JSON output and pipes it into your internal data warehouse. You get reliable, automated backups of your Evoliz accounting records without writing custom cron jobs.

Generate Compliant Quotes Automatically

When a new lead enters your system, your Mastra AI workflow triggers `create_client` to register them as a Professional or Individual. The agent then pulls product data via `get_article`. From there, the workflow generates a customized proposal. If you need human oversight for large deals, Mastra's tool approval feature pauses the execution before finalizing the quote.

Setup guide

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

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

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

Install `@mastra/mcp@latest` and create a new MCP client with your Evoliz URL. Call `mcpClient.listTools()` and spread the results into your agent's tool array.

Yes. If `list_invoices` fails due to API limits, Mastra AI uses built-in exponential backoff to retry the request automatically.

Enable the requireToolApproval flag in your configuration. This pauses execution before sensitive tools like `create_client` run, letting an admin review the data.

The Mastra AI framework automatically detects the transport layer. It connects to the Vinkius endpoint using Streamable HTTP or SSE without manual configuration.

Your quote amounts and client details remain strictly confidential. The Vinkius zero-trust architecture ensures that when your agent runs `get_quote`, the data passes through an ephemeral sandbox that leaves no trace.

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