How to Use the MiiTel MCP in OpenAI Agents SDK

Q: How do I trace MiiTel tool calls in the OpenAI Agents SDK?

Every time your agent calls listonlinemeetings or getmeetingdetails, the payload and latency show up in your OpenAI developer dashboard. This gives you full visibility into which MiiTel sales calls are being analyzed and how much token overhead is used.

Q: Does this OpenAI Agents SDK setup support real-time MiiTel coaching alerts?

You can set up your agent to poll listcalls on a schedule using this MCP integration. When a bad score is detected, the agent uses the OpenAI Agents SDK execution loop to alert managers with the details from getcalldetails.

Build production-ready guardrails around your sales coaching agents using the OpenAI Agents SDK and MiiTel.

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Connect MiiTel MCP to OpenAI Agents SDK

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

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Target high-variance calls with OpenAI Agents SDK

The `list_calls` tool feeds your MiiTel call logs directly into your OpenAI Agents SDK workflow. Your system can now run sentiment checks across hundreds of customer conversations using OpenAI's native agent capabilities. When the OpenAI Agents SDK identifies a MiiTel call with low sentiment, it triggers `get_call_details` to extract specific coaching insights. You can configure specialized OpenAI agents to handle this analysis, passing the MiiTel payload between them while tracing every step on your OpenAI dashboard.

Secure meeting analysis with built-in guardrails

The `get_meeting_details` tool feeds raw MiiTel meeting metrics directly into your OpenAI Agents SDK decision-making flow. Because you are using this MCP Server with the OpenAI Agents SDK, you can set strict validation guards to prevent your agents from exposing sensitive MiiTel logs. Combine this with `list_online_meetings` to map out which reps are struggling during live MiiTel-tracked demos. The OpenAI Agents SDK ensures that every call to the MiiTel API is validated against your pre-defined safety rules before the agent acts on the data.

Sync team directories to guardrail your routing

The `list_miitel_users` tool exposes your entire MiiTel sales team roster to your OpenAI Agents SDK routing pipeline. This allows your routing agents to instantly check active MiiTel reps and assign coaching tasks based on actual call performance metrics. By matching these MiiTel users with contacts from `list_synced_contacts`, your OpenAI agent can automatically flag when a high-value customer has a bad call experience. The OpenAI dashboard tracks these handoffs in real-time, giving you a clear view of how your automated MiiTel coaching pipeline behaves.

Setup guide

Set up MiiTel 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 MiiTel tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MiiTel. 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 MiiTel MCP in OpenAI Agents SDK

Install the package and initialize MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server instance in the mcp_servers list when creating your OpenAI Agents SDK Agent, setting cacheToolsList to True to keep tool discovery fast.

Yes, you can build one agent that monitors call logs using list_calls and another that deep-dives into specific transcripts using get_call_details. The OpenAI Agents SDK handles the transfer of MiiTel call context between these specialized agents without losing state.

Every time your agent calls list_online_meetings or get_meeting_details, the payload and latency show up in your OpenAI developer dashboard. This gives you full visibility into which MiiTel sales calls are being analyzed and how much token overhead is used.

You can set up your agent to poll list_calls on a schedule using this MCP integration. When a bad score is detected, the agent uses the OpenAI Agents SDK execution loop to alert managers with the details from get_call_details.

The OpenAI Agents SDK processes your MiiTel call logs and user directories locally or within your secure OpenAI environment. No voice recordings or raw customer profiles are stored on external servers, keeping your compliance team happy.

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