How to Use the Plecto MCP in Mastra AI

Q: Can I chain Plecto tool calls in Mastra AI?

You can sequence calls like getdashboard followed by listwidgets to build complex logic. The agent handles the output of one as input for the next.

Build resilient sales automation workflows with the Plecto MCP Server and Mastra AI.

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…and any MCP-compatible client

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Connect Plecto MCP to Mastra AI

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Setup Plecto with Mastra AI

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Workflow-Driven Plecto Integration

Create multi-step sales workflows in Mastra AI using `create_data_registration` and `list_formulas`. You can trigger automated actions based on sales milestones, such as logging a deal and updating a dashboard simultaneously. This setup allows for conditional logic where the agent decides whether to push a record or query the current KPI status first. It turns static data entry into a reactive, automated process.

Automated Team Management

Use `list_organizational_teams` and `list_account_employees` to maintain your Plecto hierarchy automatically. Your agents can now audit team lists and verify employee assignments without manual intervention. If a new hire joins, the agent can fetch the updated team structure and adjust tracking rules. It keeps your reporting accurate by aligning the tool output with your current organizational state.

Dashboard Monitoring and Alerts

Monitor performance thresholds by checking `list_widgets` and `get_dashboard` periodically. You can set up your agent to alert you when specific KPI targets are missed or exceeded. This provides a proactive layer for your operations. Instead of waiting for a weekly report, the agent watches the Plecto data and keeps you informed of critical shifts in performance.

Setup guide

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

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

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

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Common questions about Plecto MCP in Mastra AI

Initialize the MCP client in your Mastra agent config. You can then add the tools directly to your agent tool list for immediate use.

Yes, you can enable human-in-the-loop approval. This ensures you verify every `create_data_registration` call before it hits the production dashboard.

You can sequence calls like `get_dashboard` followed by `list_widgets` to build complex logic. The agent handles the output of one as input for the next.

The data stays in your agent's memory and workflow context. It only moves to Plecto when you specifically invoke a writing tool.

The server uses scope-limited access. Only the data returned by specific tool calls is processed, ensuring your internal employee records remain private.

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