Uniphore Conversation AI MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Uniphore Conversation AI as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="uniphore_conversation_ai_agent",
tools=tools,
system_message=(
"You help users with Uniphore Conversation AI. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Uniphore Conversation AI tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Uniphore Conversation AI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Uniphore Conversation AI automatically
Why Use AutoGen with the Uniphore Conversation AI MCP Server
AutoGen provides unique advantages when paired with Uniphore Conversation AI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Uniphore Conversation AI tools to solve complex tasks
Role-based architecture lets you assign Uniphore Conversation AI tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Uniphore Conversation AI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Uniphore Conversation AI tool responses in an isolated environment
Uniphore Conversation AI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Uniphore Conversation AI MCP Server delivers measurable value.
Collaborative analysis: one agent queries Uniphore Conversation AI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Uniphore Conversation AI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Uniphore Conversation AI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Uniphore Conversation AI responses in a sandboxed execution environment
Uniphore Conversation AI MCP Tools for AutoGen (8)
These 8 tools become available when you connect Uniphore Conversation AI to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Uniphore Conversation AI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Uniphore Conversation AI + AutoGen FAQ
Common questions about integrating Uniphore Conversation AI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Uniphore Conversation AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Uniphore Conversation AI to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.