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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Pipedrive Products
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Pipedrive Products through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Pipedrive Products "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Pipedrive Products?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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.

Pydantic AI validates every Pipedrive Products tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Pipedrive Products with type-safe schemas

Why Use Pydantic AI with the Pipedrive Products MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Pipedrive Products integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Pipedrive Products connection logic from agent behavior for testable, maintainable code

Pipedrive Products + Pydantic AI Use Cases

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

Type-safe data pipelines: query Pipedrive Products with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Pipedrive Products tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Pipedrive Products and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Pipedrive Products responses and write comprehensive agent tests

Pipedrive Products MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Pipedrive Products to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Pipedrive Products + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Pipedrive Products MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.