How to Use the eGestor ERP MCP in Mastra AI

Build resilient financial workflows in Mastra AI with this eGestor ERP MCP Server.

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Connect eGestor ERP MCP to Mastra AI

Create your Vinkius account to connect eGestor ERP 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 eGestor ERP with Mastra AI

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Claude

Perplexity

Automated purchase and sale workflows

Define complex logic that triggers when you call `list_purchases` or `list_sales`. If a purchase fails, you can set up automated retries or notify your accounting team immediately. This server acts as a reliable bridge for your agents. You can create branching paths that adjust inventory based on the data returned by these tools.

Conditional inventory management

Chain `get_product` calls with custom logic to handle low-stock events. Your Mastra AI agents can monitor these levels and reorder supplies before you run out. It provides the exact data structure needed for your agents to make decisions. No more guessing if an item is available or waiting for a manual check.

Service and contact record automation

Update your system by pulling from `list_services` and `get_contact` within your agents' workflows. It ensures your agent always has the latest info before moving to the next task. These tools are designed for high-frequency agent interaction. You get the raw data you need without the bloat of unnecessary fields.

Setup guide

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

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

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

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Why Choose Vinkius

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Common questions about eGestor ERP MCP in Mastra AI

You initialize the server within your agent definition and spread the tools into the agent's toolset. This allows your agents to query your ERP data during their execution cycles.

Absolutely. By combining these tools with the Mastra workflow engine, you can build autonomous routines for inventory management and sales reconciliation.

Yes. You can define custom retry logic for any tool call. If the ERP API is busy, the agent waits and tries again automatically.

The framework logs every tool call made by your agents. You can review the history in your dashboard to see exactly how your data is being accessed.

Access is restricted to the specific tools you expose to your agents. Your fiscal records remain stored in the ERP, and the MCP server acts as a strictly defined gatekeeper.

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