How to Use the Drip MCP in OpenAI Agents SDK
Run safe, multi-agent Drip marketing workflows with OpenAI Agents SDK using native tool discovery and guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Drip MCP to OpenAI Agents SDK
Create your Vinkius account to connect Drip to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Guardrails for OpenAI Agents SDK
Your OpenAI Agents SDK setup runs safety validations before executing the Drip `create_or_update_subscriber` and `delete_subscriber` tools. Because OpenAI Agents SDK supports native guardrails, you can intercept Drip data changes before they hit your live lists.
Multi-agent email series management
This OpenAI Agents SDK configuration coordinates the Drip `list_campaigns` and `list_workflows` tools to map out customer journeys. When a subscriber triggers a milestone, the executing OpenAI agent uses `record_event` to update Drip.
Clean up subscriber lists automatically
Your OpenAI Agents SDK agent audits stale segments using the Drip `list_subscribers` and `apply_tag` tools. By combining Drip `list_tags` with `fetch_subscriber`, the OpenAI agent verifies subscriber data.
Set up Drip 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 Drip tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Drip tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Drip 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="Drip Agent",
instructions="You have access to Drip 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 Drip. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Drip MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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