How to Use the DealHub CPQ MCP in Mastra AI

Q: How do I add the DealHub CPQ tools to my Mastra AI agent?

Instantiate the MCPClient from @mastra/mcp with your Vinkius server URL. Then, call mcpClient.listTools() and spread the result into your agent's tool configuration. Mastra handles the rest.

Q: How can I build a workflow that checks DealHub CPQ opportunity status with Mastra AI?

Use the listopportunities tool to get all deals. Then, in a loop, use Mastra's conditional logic to check properties of each deal. You can use other tools like getquotestatus inside the loop to make decisions.

Build unbreakable sales automation for DealHub CPQ. Mastra AI adds conditional logic, retries, and error handling to your sales workflows.

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Connect DealHub CPQ MCP to Mastra AI

Create your Vinkius account to connect DealHub CPQ 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 DealHub CPQ with Mastra AI

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Automate Quoting with Fallbacks

The `create_quote` tool generates a new CPQ sequence in DealHub. With Mastra AI, you can wrap this action in a workflow. For example: try to create a quote, if it fails, use `get_opportunity` to check for missing data, then `update_opportunity` to fix it, and retry the quote creation. This turns a simple API call into a smart, self-healing process. You don't have to write custom retry logic or error handling; Mastra's workflow engine manages the state and execution for you.

Build Smart Sales Pipelines

Mastra AI's strength is conditional logic. You can build a workflow that uses `list_opportunities` to check all open deals. For each one, it can use `get_quote_status` to see if a quote is approved. If it's not, your agent can trigger an alert. This lets you automate pipeline management. Set up rules like 'if an opportunity has no quote after 3 days, notify the account owner.' Your Mastra agent runs this logic reliably in the background via this MCP connection.

Deploy Complex DealHub CPQ Agents

This MCP Server gives your Mastra agent direct access to DealHub's core functions. You can create a workflow that checks user lists with `list_users` or kicks off a CRM update with `sync_crm`. Because Mastra AI agents can be deployed with a single command, you can run these sales automations on any cloud provider. Set up a cron job to trigger your agent, and it will handle complex tasks like nightly CRM syncs or opportunity clean-up.

Setup guide

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

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

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

Instantiate the `MCPClient` from `@mastra/mcp` with your Vinkius server URL. Then, call `mcpClient.listTools()` and spread the result into your agent's tool configuration. Mastra handles the rest.

Yes, that's a core feature of Mastra AI. Its workflow engine has built-in support for automatic retries with exponential backoff. You define the policy, and Mastra executes it around the `create_quote` tool call.

Use the `list_opportunities` tool to get all deals. Then, in a loop, use Mastra's conditional logic to check properties of each deal. You can use other tools like `get_quote_status` inside the loop to make decisions.

Mastra AI's workflow engine is designed for this. It will automatically retry the tool call according to your configuration. This makes your automation far more reliable than a simple script.

All tool calls are executed in an isolated, ephemeral environment. Your agent's requests, including any user lists and quote details, are processed and then discarded. Authentication is managed via a single, revocable token for your Mastra AI agent.

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