How to Use the DoubleTick MCP in AutoGen
Let your AutoGen agents debate and coordinate before sending automated WhatsApp campaigns.
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.
Debate templates in AutoGen
Collaborating on customer outreach gets a major upgrade when you connect AutoGen to the DoubleTick MCP Server. A sales agent drafts a campaign, a compliance agent checks it against `list_templates`, and only then does the writer agent trigger `send_template_message`. This multi-agent debate prevents compliance mistakes. Your agents negotiate the best variables for the template, ensuring your business never gets flagged for spam by sending unapproved text.
Validate and create contacts via debate
Verifying your lead details before saving them is easy with the DoubleTick MCP Server running in your AutoGen setup. One agent pulls prospects using `list_contacts`, while a validator agent cross-references the data and calls `create_contact` to register clean leads. Because AutoGen uses conversational negotiation, the agents can resolve formatting conflicts themselves. If a phone number is missing a country code, they discuss the fix before committing the contact.
Coordinate group messaging campaigns
Managing group communications is highly efficient when your AutoGen agents use the DoubleTick MCP Server. The coordinator agent runs `list_groups` to find active chats, while a separate analyst agent decides which group is the best fit for the campaign. Once the agents agree on the target group, they monitor the campaign performance. They use `get_message_status` to verify delivery and report back to the group manager agent to optimize the next batch.
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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