How to Use the Onpipeline MCP in Mastra AI

Build resilient, multi-step sales workflows in Onpipeline using Mastra AI and its built-in retry engine.

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Connect Onpipeline MCP to Mastra AI

Create your Vinkius account to connect Onpipeline 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 Onpipeline with Mastra AI

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Automate Multi-Step Deal Syncs

`list_crm_deals` and `get_deal_details` pull the exact status of your sales pipeline into a Mastra AI workflow. The agent checks the current stage of a specific deal. If the deal meets your criteria, it triggers the next step in your backend process. Built-in exponential backoff means transient API errors won't break your sync. You deploy this logic to any cloud provider with one command, ensuring your CRM data stays synchronized with your billing system.

Map Organizations with Conditional Logic

`create_crm_organization` and `create_crm_contact` establish new accounts based on incoming lead webhooks. The workflow evaluates the lead size. It routes enterprise leads to one pipeline and SMB leads to another. Failure handling is native to the framework. If a contact creation fails due to a missing email, the agent branches the logic to notify an admin instead of crashing the entire script.

Onpipeline MCP Server Activity Audits

`list_activities` and `list_crm_events` extract the daily log of sales actions for compliance checks. Your agent iterates through the events to verify reps are hitting their outreach quotas. It compiles the raw data into a structured report. You can require human-in-the-loop approval before the agent takes corrective action. Set requireToolApproval on the client, and a manager can review the audit before the system flags underperforming accounts.

Setup guide

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

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

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

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Why Choose Vinkius

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Common questions about Onpipeline MCP in Mastra AI

Install @mastra/mcp@latest. Instantiate a new MCPClient passing the Vinkius URL in the servers object, then spread mcpClient.listTools() into your agent configuration.

It can. You configure a workflow that triggers on a schedule or event, calling get_deal_details followed by a custom update step.

The framework automatically retries failed requests using exponential backoff. You don't need to write custom sleep functions to manage the API limits.

Yes. You can flag specific tools to require an administrator's sign-off. The workflow pauses until the human reviews the proposed changes.

Deal values and pipeline stages remain entirely private. The server operates within a stateless V8 Isolate Sandbox. Vinkius routes the request without logging the financial figures, dropping the memory context as soon as the execution finishes.

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