How to Use the DoubleTick MCP in OpenAI Agents SDK

Q: How do I configure the DoubleTick MCP Server with the OpenAI Agents SDK?

Install the package using pip install openai-agents and initialize the connection using MCPServerStreamableHttp. Pass your Vinkius endpoint token in the parameter URL, then register the server in your Agent constructor using the mcpservers list.

Q: Can my OpenAI Agents SDK system handle DoubleTick template validation?

Yes, the agent uses listapprovedtemplates to fetch valid layouts before calling sendwhatsapptemplate. The SDK's native guardrails ensure your agent never attempts to send unapproved text, maintaining strict control over your MCP Server operations.

Q: How does the OpenAI Agents SDK handle DoubleTick contact searching?

The agent calls searchcontactsbykeyword to find matching records in your WhatsApp database. It then uses getcontactdetails to verify the active conversation status before drafting a response.

Q: Can I cache DoubleTick MCP tools in the OpenAI Agents SDK?

Setting cacheToolsList=True in your HTTP configuration prevents the SDK from refetching the tool definitions on every turn. This optimization reduces latency during high-volume messaging runs.

Deploy production-grade WhatsApp agents with the OpenAI Agents SDK to send templates and audit message volume with built-in guardrails.

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Connect DoubleTick MCP to OpenAI Agents SDK

Create your Vinkius account to connect DoubleTick to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DoubleTick with OpenAI Agents SDK

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Automate outbound templates with OpenAI Agents SDK

The `send_whatsapp_template` tool allows your agent to dispatch pre-approved WhatsApp templates directly to verified customers, exposing these capabilities through the MCP standard. Your OpenAI-powered agents parse incoming customer requests, select the matching pre-approved message structure, and execute the delivery autonomously. Because the SDK provides built-in guardrails, you can validate the agent's chosen payload before the raw API call goes out. This keeps your automated outbound campaigns compliant and prevents the system from sending incorrect variables to your contacts.

Verify contact eligibility before messaging

The `list_opted_in_contacts` tool checks which phone numbers have given explicit consent, while `get_contact_details` retrieves the current conversation status for a specific user. Your agent queries these endpoints to filter out unregistered or unsubscribed users before initiating any outreach. The OpenAI SDK manages agent handoffs, allowing a triage agent to query `search_contacts_by_keyword` and then pass the validated contact record to a specialized messaging agent. This setup isolates the contact verification step from the actual message delivery phase.

Audit message volume and analyze history

The `quick_whatsapp_volume_audit` tool retrieves high-level messaging activity, and `list_latest_whatsapp_messages` exposes recent incoming and outgoing texts. Your agent monitors these metrics to track delivery success rates and detect sudden anomalies in communication flows. Tracing these operations on your OpenAI dashboard lets you see exactly how the agent handles `list_conversation_messages` queries. You get a clear, step-by-step breakdown of every database read and message fetch during live operations.

Setup guide

Set up DoubleTick 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 DoubleTick tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DoubleTick 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="DoubleTick Agent",
            instructions="You have access to DoubleTick tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about DoubleTick MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize the connection using `MCPServerStreamableHttp`. Pass your Vinkius endpoint token in the parameter URL, then register the server in your Agent constructor using the `mcp_servers` list.

Yes, the agent uses `list_approved_templates` to fetch valid layouts before calling `send_whatsapp_template`. The SDK's native guardrails ensure your agent never attempts to send unapproved text, maintaining strict control over your MCP Server operations.

The agent calls `search_contacts_by_keyword` to find matching records in your WhatsApp database. It then uses `get_contact_details` to verify the active conversation status before drafting a response.

Setting `cacheToolsList=True` in your HTTP configuration prevents the SDK from refetching the tool definitions on every turn. This optimization reduces latency during high-volume messaging runs.

Vinkius runs the DoubleTick MCP Server inside a zero-trust, ephemeral V8 Isolate sandbox. Your contact profiles, phone numbers, and message logs remain isolated, and the platform never stores your API tokens or customer data on persistent disks.

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