Can the AI Agent send email broadcasts automatically?

No, the agent can only read existing broadcasts and campaigns, and add subscribers or trigger events that might lead to emails being sent by Drip's rules.

Does it support Drip custom fields and tags?

Yes! You can list available custom fields and apply multiple tags or custom properties to any subscriber.

Can I remove a subscriber from Drip entirely using the agent?

Yes, you can instruct the agent to delete a subscriber completely, or simply unsubscribe them from all mailings.

INSTANT PLUG AND PLAY

Drip MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Apply Tag, Create Or Update Subscriber, Delete Subscriber, and more

Name: Drip
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 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.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Drip app connector for OpenAI Agents SDK is a standout in the Growth Engine category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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

What you can do

Retrieve and list your subscribers, custom fields, and tags.
Create or update subscribers with precise tags and custom attributes.
Record custom events to trigger Drip workflows dynamically.
Fetch live metrics from your single-email campaigns and workflows.

The OpenAI Agents SDK auto-discovers all 12 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.

The Drip MCP Server exposes 12 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.

All 12 Drip tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Drip through Vinkius, your AI agent gets direct access to every tool listed below — spanning drip, email, marketing automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

apply_tag

Apply a tag to a subscriber

create_or_update_subscriber

Pass the email address and optionally any custom fields or tags. Create or update a subscriber in Drip

delete_subscriber

This action is irreversible. Delete a subscriber from Drip permanently

fetch_subscriber

Fetch a single subscriber by their ID or Email

list_broadcasts

List all Single-Email Campaigns (Broadcasts)

list_campaigns

List all Email Series Campaigns

list_custom_fields

List all custom field identifiers

list_subscribers

Use this to fetch all known contacts. List all subscribers in the Drip account

list_tags

List all Tags used in the account

list_workflows

List all Workflows in Drip

record_event

You can pass additional properties associated with the event. Record a custom event for a subscriber in Drip

unsubscribe_subscriber

Unsubscribe a subscriber from all mailings

Connect Drip to OpenAI Agents SDK via MCP

Follow these steps to wire Drip into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 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

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.

"Create a new Drip subscriber with the email 'leads@example.com' and tag them as 'VIP'."

"List all active workflows in my Drip account."

"Record a custom event called 'Signed Up' for user 'john@doe.com' in Drip."

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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.