Pipedrive Products MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pipedrive Products through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Pipedrive Products Assistant",
instructions=(
"You help users interact with Pipedrive Products. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pipedrive Products"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Pipedrive Products through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pipedrive Products, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Pipedrive Products MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Pipedrive Products
Why Use OpenAI Agents SDK with the Pipedrive Products MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pipedrive Products through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Pipedrive Products + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pipedrive Products MCP Server delivers measurable value.
Automated workflows: build agents that query Pipedrive Products, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Pipedrive Products, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pipedrive Products tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pipedrive Products to resolve tickets, look up records, and update statuses without human intervention
Pipedrive Products MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Pipedrive Products to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Pipedrive Products to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pipedrive Products + OpenAI Agents SDK FAQ
Common questions about integrating Pipedrive Products MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Pipedrive Products with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pipedrive Products to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.