Can I see how many calls are currently waiting in a queue?

Yes. Use the `get_realtime_metrics` tool to see live statistics, including the number of waiting calls and active agent status across all queues.

How do I audit an agent's interaction history?

Use the `list_agent_interactions` tool. You can optionally provide a start and end time range to filter logs for specific periods.

Can I export performance data to other tools?

Your AI agent can retrieve the data using `list_queue_metrics`, which can then be formatted or summarized for use in reports, spreadsheets, or other applications.

8x8 Contact Center MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Name: 8x8 Contact Center
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 8x8 Contact Center through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="8x8 Contact Center Assistant",
            instructions=(
                "You help users interact with 8x8 Contact Center. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from 8x8 Contact Center"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 8x8 Contact Center MCP Server

Empower your AI agent to act as a real-time supervisor for your 8x8 Contact Center. This integration bridges the gap between complex CCaaS metrics and actionable insights, allowing your agent to audit queue performance and agent interactions through natural language. Whether you need an instant pulse check on live call volumes or a detailed historical audit of agent activity, your agent provides a direct, conversational window into your 8x8 operations, ensuring your team stays agile and data-driven without ever leaving your primary chat interface.

The OpenAI Agents SDK auto-discovers all 3 tools from 8x8 Contact Center through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 8x8 Contact Center, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Real-time Monitoring — Retrieve live statistics for all active queues and agents to identify immediate operational bottlenecks.
Agent Interaction Audits — List and review historical agent interaction logs, complete with metadata and timestamps.
Queue Performance Analytics — Access aggregated historical performance data to understand long-term contact center trends.
Supervisory Insights — Audit agent availability and queue health on the fly using simple conversational commands.
Custom Metric Filtering — Query interaction logs by specific date and time ranges to find exact operational data points.

The 8x8 Contact Center MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect 8x8 Contact Center to OpenAI Agents SDK via MCP

Follow these steps to integrate the 8x8 Contact Center MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 3 tools from 8x8 Contact Center

Why Use OpenAI Agents SDK with the 8x8 Contact Center MCP Server

OpenAI Agents SDK provides unique advantages when paired with 8x8 Contact Center through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

8x8 Contact Center + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the 8x8 Contact Center MCP Server delivers measurable value.

Automated workflows: build agents that query 8x8 Contact Center, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries 8x8 Contact Center, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through 8x8 Contact Center tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query 8x8 Contact Center to resolve tickets, look up records, and update statuses without human intervention

8x8 Contact Center MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect 8x8 Contact Center to OpenAI Agents SDK via MCP:

get_realtime_metrics

Get live contact center metrics

list_agent_interactions

Filter by date to audit historical call resolution metadata. List historical agent interactions

list_queue_metrics

List historical queue performance

Example Prompts for 8x8 Contact Center in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 8x8 Contact Center immediately.

"What is the current live status of my contact center queues?"

"List all agent interactions from yesterday morning."

"How has the 'General' queue performed over the last hour?"

Troubleshooting 8x8 Contact Center MCP Server with OpenAI Agents SDK

Common issues when connecting 8x8 Contact Center to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

8x8 Contact Center + OpenAI Agents SDK FAQ

Common questions about integrating 8x8 Contact Center MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.