Pipedrive Leads MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pipedrive Leads 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 Leads Assistant",
instructions=(
"You help users interact with Pipedrive Leads. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pipedrive Leads"
)
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 Leads MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
The OpenAI Agents SDK auto-discovers all 7 tools from Pipedrive Leads through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pipedrive Leads, 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 Leads MCP Server exposes 7 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 Leads to OpenAI Agents SDK via MCP
Follow these steps to integrate the Pipedrive Leads 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 7 tools from Pipedrive Leads
Why Use OpenAI Agents SDK with the Pipedrive Leads MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pipedrive Leads 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 Leads + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pipedrive Leads MCP Server delivers measurable value.
Automated workflows: build agents that query Pipedrive Leads, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Pipedrive Leads, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pipedrive Leads tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pipedrive Leads to resolve tickets, look up records, and update statuses without human intervention
Pipedrive Leads MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Pipedrive Leads to OpenAI Agents SDK via MCP:
pd_create_lead
Create a lead
pd_delete_lead
Delete a lead
pd_get_lead
Get lead details
pd_lead_labels
List lead labels
pd_lead_sources
List lead sources
pd_list_leads
List leads in the inbox
pd_update_lead
Update a lead
Example Prompts for Pipedrive Leads in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pipedrive Leads immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Leads MCP Server with OpenAI Agents SDK
Common issues when connecting Pipedrive Leads to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pipedrive Leads + OpenAI Agents SDK FAQ
Common questions about integrating Pipedrive Leads 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 Leads 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Leads to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.