How to Use the QuickReply.ai MCP in AutoGen

Q: How do AutoGen agents use a QuickReply.ai Alternative?

They call the available tools like sendtemplate during their conversation. They decide together which message to send.

Debate your WhatsApp messaging strategy with AutoGen agents using this specialized MCP Server.

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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 AutoGen

Create your Vinkius account to connect QuickReply.ai to AutoGen — 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 AutoGen

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Multi-agent message debates

Let your agents argue over the best `trigger_journey_event` strategy for a specific user segment. One agent can propose a message while another checks against campaign history. This removes bias from your outreach. Your agents negotiate the content and timing using `send_session_message` only after reaching a consensus.

Automated campaign auditing

Use a specialized auditor agent to call `fetch_campaign_stats` regularly. It reviews performance and flags issues for your primary messaging agents. This keeps your outreach efficient. If the stats look off, your agents adapt their `trigger_drip_campaign` settings without human intervention.

Standardized MCP Server tools

Plug this MCP Server into your AutoGen AssistantAgent via the standard adapter. Your agents gain immediate access to the full suite of messaging tools. It turns your WhatsApp API into a shared language for your agent team. They share access to the same tools to execute your messaging strategy.

Setup guide

Set up QuickReply.ai MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes QuickReply.ai tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="QuickReply.ai_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent QuickReply.ai data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="QuickReply.ai_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent QuickReply.ai data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by QuickReply.ai. 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.