How to Use the Pipedrive MCP in OpenAI Agents SDK
Run your Pipedrive CRM workflows directly from your OpenAI Agents SDK deployments with strict guardrails and zero-config tool discovery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Pipedrive MCP to OpenAI Agents SDK
Create your Vinkius account to connect Pipedrive to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Guarded deal creation with OpenAI Agents SDK
The `create_new_deal` tool lets your OpenAI Agents SDK safely inject new opportunities directly into your Pipedrive pipeline. By validating these sales actions before execution, this OpenAI Agents SDK setup ensures your agent doesn't write corrupted deal data to your live Pipedrive funnel. If a specialized OpenAI Agents SDK agent attempts to move a Pipedrive stage without validation, the built-in guardrails block the call. You get clean, automated Pipedrive data entry in your OpenAI Agents SDK workflows without risking your CRM's integrity.
Auto-discover sales pipelines in OpenAI Agents SDK MCP Server
The `list_sales_pipelines` tool registers your Pipedrive workflows automatically with your OpenAI Agents SDK using our managed MCP Server. Your OpenAI Agents SDK agents immediately map your Pipedrive sales workflows without manual schema configuration or hardcoded endpoints. This direct mapping allows multi-agent handoffs in the OpenAI Agents SDK where one agent pulls Pipedrive stages using `list_pipeline_stages` and another updates the deal. You track the entire Pipedrive execution trace on your OpenAI Agents SDK dashboard.
Sync client meetings and tasks
The `list_user_activities` tool provides your OpenAI Agents SDK with real-time schedules and task lists directly from your Pipedrive CRM. Your OpenAI Agents SDK agent parses these Pipedrive activities to schedule follow-ups or flag neglected leads. Because the OpenAI Agents SDK caches tools for performance, your agent checks Pipedrive schedules instantly without hitting API rate limits repeatedly. It keeps your sales reps on track in Pipedrive while protecting your OpenAI Agents SDK application's API quota.
Set up Pipedrive MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Pipedrive tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Pipedrive tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Pipedrive tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Pipedrive Agent",
instructions="You have access to Pipedrive tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main())Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pipedrive. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Pipedrive MCP in OpenAI Agents SDK
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