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Pipedrive Products MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pipedrive Products through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "pipedrive-products": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pipedrive Products Agent",
    instructions:
      "You help users interact with Pipedrive Products " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pipedrive Products?"
  );
  console.log(result.text);
}

main();
Pipedrive Products
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Pipedrive Products MCP Server

Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.

Mastra's agent abstraction provides a clean separation between LLM logic and Pipedrive Products tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Deals — Search, create, and update deals with pipeline tracking
  • Contacts — Find and create persons with email, phone, and organization
  • Organizations — Search companies linked to deals and contacts
  • Activities — Create calls, meetings, tasks, and emails
  • Notes — Attach notes to deals, persons, or organizations
  • Pipelines — View all pipeline stages and deal flow

The Pipedrive Products MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Pipedrive Products to Mastra AI via MCP

Follow these steps to integrate the Pipedrive Products MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Pipedrive Products via MCP

Why Use Mastra AI with the Pipedrive Products MCP Server

Mastra AI provides unique advantages when paired with Pipedrive Products through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Pipedrive Products without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Pipedrive Products tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Pipedrive Products + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Pipedrive Products MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Pipedrive Products, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Pipedrive Products as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Pipedrive Products on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Pipedrive Products tools alongside other MCP servers

Pipedrive Products MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Pipedrive Products to Mastra AI via MCP:

01

pd_add_product_to_deal

Requires the deal ID, product ID (use pd_search_products or pd_list_products to find), unit price, and quantity. The line-item total is calculated automatically. Use when the user wants to add a product to a deal, build a quote, or track what is being sold. Attach a product from the catalog to a deal with a specific quantity and unit price for line-item tracking

02

pd_create_product

Name is required. Code serves as the internal SKU/reference. Unit defines how the product is measured (piece, hour, kg, etc.). Tax is the default tax percentage. Products in the catalog can be attached to deals using pd_add_product_to_deal. Create a new product in the Pipedrive catalog with name, code (SKU), unit type, and tax rate

03

pd_deal_products

Returns product name, quantity, item price, discount percentage, and total value per line. Use when the user asks "what products are on this deal?", needs to check line-item pricing, or wants to review the deal composition before closing. Get all products attached to a specific deal with quantities, prices, and line-item totals

04

pd_deal_subscriptions

Returns subscription details including recurring amount, billing cycle, and dates. Subscriptions track ongoing revenue tied to a deal for SaaS/recurring revenue businesses. Use when the user asks about recurring revenue, MRR/ARR, or subscription details on a deal. Get recurring revenue subscriptions linked to a deal — MRR/ARR tracking for subscription-based businesses

05

pd_get_product

Returns full product data including name, prices per currency, code, unit, tax, and custom fields. Use after searching to drill into a specific product for complete details. Get complete details of a specific Pipedrive product by ID including all pricing, tax, and custom fields

06

pd_list_products

Returns product name, unit price, code (SKU), unit type, and whether it is active. Use for product catalog browsing, inventory auditing, or when the user wants to see all available products. List all products in the Pipedrive product catalog with names, prices, codes, and unit information

07

pd_search_products

Returns product name, unit price, product code (SKU), unit type, and tax percentage. Use when the user wants to find a product, check pricing, or needs a product ID before attaching it to a deal. Search Pipedrive products by name to find items in the product catalog with prices, codes, and unit types

08

pd_update_product

Only specified fields change. Use when the user wants to rename a product, update its SKU code, or change pricing information. Update an existing Pipedrive product — change name, code, pricing, or other catalog properties

Example Prompts for Pipedrive Products in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Pipedrive Products immediately.

01

"Search for deals with Acme Corp"

02

"Create a call activity for tomorrow at 2pm"

03

"Show me the pipeline stages"

Troubleshooting Pipedrive Products MCP Server with Mastra AI

Common issues when connecting Pipedrive Products to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pipedrive Products + Mastra AI FAQ

Common questions about integrating Pipedrive Products MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Pipedrive Products to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.