QuickReply.ai MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Contact, Get Broadcast, Get Contact Details, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect QuickReply.ai through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The QuickReply.ai app connector for OpenAI Agents SDK is a standout in the Ecommerce category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="QuickReply.ai Assistant",
instructions=(
"You help users interact with QuickReply.ai. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from QuickReply.ai"
)
print(result.final_output)
asyncio.run(main())
* 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 QuickReply.ai MCP Server
Connect your QuickReply.ai account to any AI agent and simplify your WhatsApp automation and conversational marketing through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from QuickReply.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries QuickReply.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Contact Management — List all WhatsApp subscribers, retrieve detailed profile metadata, and track user segments
- Messaging & Outreach — Send text messages or templates to recipients and monitor delivery status through your agent
- Broadcast Campaigns — Query past and scheduled broadcast campaigns to monitor your marketing reach
- Usage Tracking — Record custom user events and actions programmatically to feed your segmentation
- Template catalog — Query available pre-approved WhatsApp message templates for consistent outreach
The QuickReply.ai MCP Server exposes 11 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 11 QuickReply.ai tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to QuickReply.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-marketing, conversational-commerce, customer-engagement, 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.
Create a new contact
Get details for a specific broadcast
Get details for a specific contact
Get details for a specific message template
List broadcast campaigns
List QuickReply.ai contacts
List WhatsApp templates
List contact segments
Send a WhatsApp message
Track a custom engagement event
Update an existing contact
Connect QuickReply.ai to OpenAI Agents SDK via MCP
Follow these steps to wire QuickReply.ai into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the QuickReply.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with QuickReply.ai 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
QuickReply.ai + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the QuickReply.ai MCP Server delivers measurable value.
Automated workflows: build agents that query QuickReply.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries QuickReply.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through QuickReply.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query QuickReply.ai to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for QuickReply.ai in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with QuickReply.ai immediately.
"List all contacts in QuickReply.ai."
"Show me all WhatsApp broadcast campaigns from this month with delivery and read rates."
"Send a personalized WhatsApp template message to all contacts in the VIP Customers segment."
Troubleshooting QuickReply.ai MCP Server with OpenAI Agents SDK
Common issues when connecting QuickReply.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
QuickReply.ai + OpenAI Agents SDK FAQ
Common questions about integrating QuickReply.ai MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.