How to Use the QuickReply.ai MCP in OpenAI Agents SDK

Q: Does the QuickReply.ai Alternative for OpenAI Agents SDK support drip campaigns?

It does. You can use triggerdripcampaign to start automated sequences directly from your agent logic.

Build production-ready WhatsApp agents using OpenAI Agents SDK. Manage your entire engagement stack without the constant API friction.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect QuickReply.ai MCP to OpenAI Agents SDK

Create your Vinkius account to connect QuickReply.ai to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup QuickReply.ai with OpenAI Agents SDK

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Automate messaging with OpenAI Agents SDK

Your agent can now push messages directly to customers using `send_session_message`. This removes the overhead of manual queueing and keeps your communication flow strictly within your Python code. By using `send_template`, you ensure all interactions comply with WhatsApp standards. Your agent handles the payload and you get immediate feedback on delivery success.

Trigger journeys with absolute precision

Stop relying on brittle manual triggers. Use `trigger_journey_event` to initiate complex marketing flows based on real-time user behavior detected by your agent. This approach maps user actions to specific journey paths. It keeps your logic centralized and allows your agent to adapt messaging as the customer moves through the funnel.

Audit your campaign performance

Connect `fetch_campaign_stats` to your agent for instant performance deep-dives. You'll see exactly how your messaging performs without leaving your development environment. Keep in mind this tool is scheduled to sunset in 2026. Use it now to build your reporting dashboard before transitioning to newer event-based tracking methods.

Setup guide

Set up QuickReply.ai MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all QuickReply.ai tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives QuickReply.ai tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate QuickReply.ai tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="QuickReply.ai Agent",
            instructions="You have access to QuickReply.ai tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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