Can my agent add tags to existing Drip subscribers?

Yes. Use the 'tag_subscriber' tool. Provide the subscriber's email and the tag name. The agent will command the Drip API to apply the tag, which can trigger automated workflows or update segment boundaries.

How do I start a specific automation workflow for a user via chat?

Use the 'start_workflow' tool. You will need the Workflow ID and the subscriber's email. Your agent will trigger the response routing to place that user onto the specified automation path immediately.

Can I record custom events like 'Completed Checkout' through the agent?

Absolutely. Use the 'record_event' tool. Provide the email, the action name, and optional JSON properties. The agent injects the telemetry log into Drip, generating tracking data that feeds your automation logic.

Drip MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Drip
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Drip through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 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="Drip Assistant",
            instructions=(
                "You help users interact with Drip. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Drip"
        )
        print(result.final_output)

asyncio.run(main())

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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 Drip MCP Server

Connect your Drip account to any AI agent and take full control of your e-commerce CRM and marketing automation through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Drip through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Drip, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Subscriber Management — List and search for subscribers to retrieve emails, tags, custom fields, lead scores, and lifecycle stages natively
Provisioning & Tagging — Create or update subscriber profiles and apply or remove tags strictly to drive your automation and segmentation logic
Workflow Orchestration — List all automation workflows and trigger absolute response routing to start subscribers onto an executing node loop
Campaign Auditing — Retrieve explicit arrays detailing specific email series campaigns, including statuses and subscriber counts
Event Tracking — Inject raw telemetry logs to record custom events (like 'Purchased' or 'Visited') generating hard tracking bindings for your automation
Categorical Tagging — Identify precise active tag arrays spanning your account to manage your organizational segmentation boundaries
Activity Monitoring — Analyze specific localized profiles decoding activity history to understand customer behavior limitlessly

The Drip MCP Server exposes 10 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 Drip to OpenAI Agents SDK via MCP

Follow these steps to integrate the Drip 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 10 tools from Drip

Why Use OpenAI Agents SDK with the Drip MCP Server

OpenAI Agents SDK provides unique advantages when paired with Drip 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

Drip + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Drip MCP Server delivers measurable value.

Automated workflows: build agents that query Drip, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Drip, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Drip tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Drip to resolve tickets, look up records, and update statuses without human intervention

Drip MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Drip to OpenAI Agents SDK via MCP:

create_subscriber

Modifies `/v2/{account_id}/subscribers` resolving exact tags mapping. Create or update a Drip subscriber

get_subscriber

Returns full profile, tags, custom fields, lead score, and activity history. Get a Drip subscriber by email or ID

list_campaigns

Returns campaign IDs, names, statuses, and subscriber counts. List Drip email series campaigns

list_subscribers

Returns emails, tags, custom fields, and lifecycle stage. List Drip subscribers. Drip is an e-commerce CRM/email platform

list_tags

List all tags in your Drip account

list_workflows

Returns workflow IDs, names, and statuses (active/paused/draft). List Drip automation workflows

record_event

Events trigger automations. Record a custom event for a Drip subscriber

remove_tag

Drops the raw data tag relationship bypassing the standard UI triggers. Remove a tag from a Drip subscriber

start_workflow

Starts a subscriber onto an executing node loop. Start a subscriber on a Drip automation workflow

tag_subscriber

Tags drive automation and segmentation. Apply a tag to a Drip subscriber

Example Prompts for Drip in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Drip immediately.

"Search for subscriber info for: hello@example.com"

"Add tag 'Vip-Customer' to user: user@drip.com"

"List all active automation workflows"

Troubleshooting Drip MCP Server with OpenAI Agents SDK

Common issues when connecting Drip to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Drip + OpenAI Agents SDK FAQ

Common questions about integrating Drip MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.