How do I get my Uniphore Access Token and Org ID?

Log in to your Uniphore account, navigate to Settings > API Access, and generate a new token. Your Organization ID is displayed in the same settings panel.

Can I get AI-generated summaries of meetings?

Yes! Use the get_meeting_summary tool with a meeting ID to retrieve the concise AI summary of that call.

Can I extract action items from a call?

Yes! Use the get_action_items tool with a meeting ID. Uniphore AI identifies next steps and assigns them to speakers if possible.

Can I search for specific topics in past meetings?

Yes! Use the search_meetings tool with relevant keywords or topic names to find matching recorded calls.

Uniphore Conversation AI MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Uniphore Conversation AI
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Uniphore Conversation AI 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="Uniphore Conversation AI Assistant",
            instructions=(
                "You help users interact with Uniphore Conversation AI. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Uniphore Conversation AI"
        )
        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 Uniphore Conversation AI MCP Server

Connect Uniphore to any AI agent and unlock powerful conversation intelligence -- retrieve meeting transcripts, AI-generated summaries, action items, and analytics through natural conversation.

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

What you can do

Meeting Transcripts -- Get speaker-tagged transcripts of any recorded call or meeting
AI Summaries -- Retrieve concise summaries of key discussion points
Action Items -- Extract next steps and tasks identified during meetings
Conversation Analytics -- View talk ratios, sentiment, topics, and engagement metrics
Search Meetings -- Find past meetings by keyword or topic discussed

The Uniphore Conversation AI MCP Server exposes 8 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 Uniphore Conversation AI to OpenAI Agents SDK via MCP

Follow these steps to integrate the Uniphore Conversation AI 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 8 tools from Uniphore Conversation AI

Why Use OpenAI Agents SDK with the Uniphore Conversation AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Uniphore Conversation AI 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

Uniphore Conversation AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Uniphore Conversation AI MCP Server delivers measurable value.

Automated workflows: build agents that query Uniphore Conversation AI, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Uniphore Conversation AI, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Uniphore Conversation AI tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Uniphore Conversation AI to resolve tickets, look up records, and update statuses without human intervention

Uniphore Conversation AI MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Uniphore Conversation AI to OpenAI Agents SDK via MCP:

get_action_items

Get action items extracted from a meeting

get_meeting

Get details of a specific meeting

get_meeting_analytics

Get conversation analytics and insights for a meeting

get_meeting_summary

Get the AI-generated summary of a meeting

get_transcript

Get the full transcript of a meeting

list_meetings

Use this to discover meeting IDs before querying specific details. List all recorded meetings and calls

list_topics

List all tracked topics and keywords in the organization

search_meetings

Search meetings by keyword or topic

Example Prompts for Uniphore Conversation AI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Uniphore Conversation AI immediately.

"Show me the summary for meeting MTG-123."

"Get the transcript for meeting MTG-456."

"What are the action items from the last sales call?"

Troubleshooting Uniphore Conversation AI MCP Server with OpenAI Agents SDK

Common issues when connecting Uniphore Conversation AI 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.

Uniphore Conversation AI + OpenAI Agents SDK FAQ

Common questions about integrating Uniphore Conversation AI 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.