How to Use the CommPeak MCP in OpenAI Agents SDK

Q: What is the best way to handle agent handoffs for failed texts?

Set up a primary dispatch agent that monitors getsmsstatus. When a failure is detected, the dispatcher transfers the context to a recovery agent designed to try alternative contact methods.

Run CommPeak dialer and SMS actions safely in production using this MCP Server and the OpenAI Agents SDK.

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Connect CommPeak MCP to OpenAI Agents SDK

Create your Vinkius account to connect CommPeak 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 CommPeak with OpenAI Agents SDK

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Direct Campaign Control via OpenAI Agents SDK

Your deployed agents can now inspect and run outbound sales dialers directly using this MCP integration. This setup exposes `list_dialer_campaigns` and `get_campaign_details` as native tools. Your agent reads the live dialer state, figures out which campaigns need attention, and acts without you writing custom API glue. Because the SDK supports strict tracing, every single call to these dialer tools shows up on your OpenAI developer dashboard. You see exactly when the agent checked a campaign and what parameters it passed, making debugging live sales pipelines painless.

Secure Lead Management with Guardrails

Safely add or purge prospects from your active calling queues. The agent runs `create_lead` to inject hot prospects or `delete_lead` to clean up opt-outs instantly. The OpenAI SDK applies native guardrails to these operations. If an agent tries to delete a lead outside allowed parameters, the SDK blocks the action before it hits the CommPeak MCP Server, keeping your CRM data clean and compliant.

Automated SMS Tracking and Handoffs

Let your agent handle text follow-ups and monitor delivery rates automatically. By invoking `send_sms` and checking progress with `get_sms_status`, your agent handles the entire messaging loop. If a text fails or a lead replies with a complex question, the SDK hands off the conversation to a specialized support agent. This keeps your sales reps focused on hot calls while the background agent cleans up the queue using `list_recent_sms`.

Setup guide

Set up CommPeak 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 CommPeak tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CommPeak 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="CommPeak Agent",
            instructions="You have access to CommPeak 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 CommPeak MCP in OpenAI Agents SDK

Install the library with pip install openai-agents. Initialize MCPServerStreamableHttp pointing to the Vinkius endpoint, then pass that server instance to your Agent constructor.

Yes. Set the cacheToolsList parameter to True when configuring your server stream. This prevents redundant network requests and speeds up agent response times.

The SDK lets you define validation rules before tools like delete_lead run. If the agent generates an invalid payload, the SDK catches it locally before making the API call.

Set up a primary dispatch agent that monitors get_sms_status. When a failure is detected, the dispatcher transfers the context to a recovery agent designed to try alternative contact methods.

Vinkius runs the server in an isolated V8 sandbox. Your credentials and lead data are processed ephemerally, ensuring no phone numbers or campaign details are stored on the hosting platform.

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