How to Use the Vibrato MCP in OpenAI Agents SDK

Q: How do I handle call flow management with Vibrato and OpenAI Agents SDK?

Your agent can use listtemplates to see what calling scripts are available. Then, it calls createcallfromtemplate, starting the communication immediately. It's a structured way to run campaigns.

Q: Can I track all my phone interactions with Vibrato and OpenAI Agents SDK?

Absolutely. The agent uses listcalls to pull every recorded call history into its context window. You get a complete audit trail of everything that happened.

Q: What if I need to update a running call's state with Vibrato and OpenAI Agents SDK?

You use getcallstatus for this. This tool checks the current operational status of an existing conversation, telling your agent exactly where it stands.

Automate high-stakes conversations and manage call flows using your OpenAI Agents SDK.

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Connect Vibrato MCP to OpenAI Agents SDK

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

Ask AI about this MCP

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Perplexity

Initiate complex AI calls.

You can start a new conversation flow with `create_call`. Just pass the prompt, phone number, and locale in the JSON body. Your agent handles everything from initial connection to running the script. This is perfect for production agents because your built-in guardrails validate that all required parameters are present before the call even gets placed.

Manage call scripts with templates.

Use `create_call_from_template` when you need consistency, like negotiating a bill. It kicks off a structured conversation based on pre-approved logic. When the agent runs this tool, it knows exactly which template to use, keeping your outreach predictable and compliant.

Check call status and history.

Need to know if last night's campaign worked? You can check progress with `get_call_status` or pull a full rundown using `list_calls`. It gives you the real-time data on every interaction. This helps your agent report accurately, letting it verify whether calls are pending completion or already finished.

Setup guide

Set up Vibrato 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 Vibrato tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agent can use `list_templates` to see what calling scripts are available. Then, it calls `create_call_from_template`, starting the communication immediately. It's a structured way to run campaigns.

Absolutely. The agent uses `list_calls` to pull every recorded call history into its context window. You get a complete audit trail of everything that happened.

This server deals with phone number, prompt, and locale data when you use `create_call`. Your AI client manages these credentials securely via the MCP Server's encrypted vault.

Because your setup uses production-grade guardrails, it handles volume reliably. The agent only executes actions that pass validation, preventing accidental failures or bad data inputs.

You use `get_call_status` for this. This tool checks the current operational status of an existing conversation, telling your agent exactly where it stands.

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