How to Use the DoubleTick MCP in AutoGen
Coordinate multi-agent debates to verify opt-ins and send WhatsApp templates safely using AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DoubleTick MCP to AutoGen
Create your Vinkius account to connect DoubleTick to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Enforce Compliance via AutoGen Agent Debates
`list_opted_in_contacts` provides the source of truth for your compliance agent. This MCP Server provides direct verification before any message fires. A safety agent challenges the marketing agent using this contact list. Consensus-driven decisions prevent sending templates to opted-out users. They negotiate the validity of the contact's status before executing `send_whatsapp_template`. Your brand protection is handled autonomously by the agent debate.
Monitor Operational Limits Across Your Multi-Agent Team
`quick_whatsapp_volume_audit` allows your controller agent to audit outgoing traffic. If delivery failure rates spike, the controller instructs other agents to pause. This prevents wasting money on failed message attempts. API boundaries are checked using `get_doubletick_account_metadata` to manage execution limits. Your multi-agent system negotiates back-off strategies when limits are near. This keeps the entire team running without manual resets.
Coordinate Search and Conversation Analysis
`search_contacts_by_keyword` helps your search agent locate specific users. Once located, another agent retrieves the full profile via `get_contact_details`. This multi-step discovery process ensures your team has full profile details before responding. Recent incoming replies are detected by a separate analyst agent using `list_latest_whatsapp_messages`. Your team coordinates their responses based on the absolute latest user message. No duplicate messages are sent because the agents share state.
Set up DoubleTick 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes DoubleTick tools and returns structured results.
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="DoubleTick_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent DoubleTick data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="DoubleTick_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent DoubleTick data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DoubleTick. 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.
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Common questions about DoubleTick MCP in AutoGen
Use it with your favorite AI tools
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