What Pipedrive data can I access?

Deals, Persons, Organizations, Activities, Notes, and Pipelines. All data respects your Pipedrive permissions.

Can I create and update records?

Yes! Create and update deals, contacts, activities, and notes — all through natural conversation.

How does authentication work?

Uses your personal Pipedrive API token. Find it in Settings > Personal preferences > API. No OAuth flow needed.

Pipedrive Products MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Pipedrive Products
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pipedrive Products as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="pipedrive_products_agent",
    instruction=(
        "You help users interact with Pipedrive Products "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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About Pipedrive Products MCP Server

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

Google ADK natively supports Pipedrive Products as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Pipedrive Products MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Pipedrive Products via MCP

Why Use Google ADK with the Pipedrive Products MCP Server

Google ADK provides unique advantages when paired with Pipedrive Products through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pipedrive Products

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Pipedrive Products tools with BigQuery, Vertex AI, and Cloud Functions

Pipedrive Products + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Pipedrive Products MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Pipedrive Products and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Pipedrive Products tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Pipedrive Products regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pipedrive Products

Pipedrive Products MCP Tools for Google ADK (8)

These 8 tools become available when you connect Pipedrive Products to Google ADK via MCP:

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

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

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

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

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

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

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

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 Google ADK

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

"Search for deals with Acme Corp"

"Create a call activity for tomorrow at 2pm"

"Show me the pipeline stages"

Troubleshooting Pipedrive Products MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Pipedrive Products + Google ADK FAQ

Common questions about integrating Pipedrive Products MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.