How to Use the Five9 MCP in OpenAI Agents SDK

Q: How do I monitor Five9 queues with OpenAI Agents SDK?

Connect the Five9 MCP Server to your agent and invoke getstatistics. This returns the current queue data your agent needs to make informed decisions.

Q: Can OpenAI Agents SDK terminate Five9 interactions?

Yes. You can trigger terminateinteraction once your agent confirms the call meets your specific criteria for closure.

Q: Does Five9 support automated state changes in OpenAI Agents SDK?

It does. Use the updateagentstate tool to modify an agent's current status directly through your code.

Directly manage your Five9 contact center state and real-time metrics through the OpenAI Agents SDK.

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Connect Five9 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Five9 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 Five9 with OpenAI Agents SDK

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Real-time agent state management

Shift agent status instantly to handle queue spikes without manual intervention. Use `update_agent_state` to force transitions between ready, not-ready, and logout states based on your logic. Your agent monitors current conditions via `get_agent_state` and `list_agent_states`. It ensures your workforce stays aligned with fluctuating call volumes.

Live Five9 interaction control

Stop problematic calls before they impact your SLAs by using `terminate_interaction`. Your agent keeps a clean queue by filtering through data from `list_active_interactions`. This gives your OpenAI Agents SDK implementation granular control over active sessions. You maintain strict oversight of every ongoing customer conversation.

Operational data retrieval

Pull precise contact center metrics using `get_statistics` to inform your automated decision-making. Cross-reference these stats with `list_campaigns` and `list_skills` to verify your routing logic. This MCP Server provides the raw data needed for your agent to assess performance. You get a clear view of your operational health at any moment.

Setup guide

Set up Five9 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 Five9 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Five9 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Five9 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="Five9 Agent",
            instructions="You have access to Five9 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 Five9 MCP in OpenAI Agents SDK

Connect the Five9 MCP Server to your agent and invoke `get_statistics`. This returns the current queue data your agent needs to make informed decisions.

Yes. You can trigger `terminate_interaction` once your agent confirms the call meets your specific criteria for closure.

It does. Use the `update_agent_state` tool to modify an agent's current status directly through your code.

Vinkius manages your authentication. You simply provide an endpoint token to connect your agent to the server.

Your agent only accesses the specific interaction metadata you request. We treat all call logs and agent states as sensitive operational data.

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