How to Use the Insightful MCP in Mastra AI

Build resilient productivity workflows with Mastra AI and the Insightful MCP Server.

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Connect Insightful MCP to Mastra AI

Create your Vinkius account to connect Insightful 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 Insightful with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated attendance tracking

Trigger workflows based on data from `get_attendance`. You set up conditional branches to notify managers if specific attendance criteria are met. Mastra handles the retries if the network blips. It ensures your attendance records stay consistent across your internal systems.

Conditional project reporting

Use `list_projects` and `get_productivity` to feed data into your agent's decision engine. You define logic to escalate bottlenecks to the right team. The system evaluates the metrics in real-time. It acts on the data automatically without human intervention.

Task management automation

Automate your task assignments by linking `list_tasks` to your workflow engine. You set up recurring checks to move tasks based on current status. It reduces the manual work of tracking updates. You keep your project management system synced with reality.

Setup guide

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

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

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

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Insightful MCP in Mastra AI

Add the server to your Mastra configuration and map the tools to your agents. The framework handles the connection automatically. You then call the tools within your workflow steps.

It gives your agents direct access to organizational data. The agent uses the output to determine the next step in the workflow. It's a reliable way to automate data-driven tasks.

Yes, you chain the tool calls together. The output of one tool serves as the input for the next. It allows for complex, multi-stage automation.

The workflow engine detects the empty response. You can configure a fallback branch to handle the empty state. It prevents the agent from failing.

The server uses token-based auth to protect your activity logs. All data transmission occurs over encrypted channels. We never persist your private logs on our servers.

Use it with your favorite AI tools

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