Mio MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Webhook, Delete Webhook, Get Account Info, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mio as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Mio app connector for AutoGen is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="mio_agent",
tools=tools,
system_message=(
"You help users with Mio. "
"12 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 Mio MCP Server
Connect your Mio account to any AI agent and manage automated phone calls through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mio tools. Connect 12 tools through 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
- Outbound Calls — Start AI-powered phone calls with custom scripts and instructions
- Call Logs — Browse call history with status, duration, and outcomes
- Transcripts — Retrieve full text transcriptions of completed calls
- AI Summaries — Get AI-generated summaries and extracted data from calls
- Voice Selection — Choose from multiple neural voices for the AI agent
- Webhooks — Configure event notifications for call status changes
- Call Control — Terminate active calls in real time
- Account — Check credit balance and account information
The Mio MCP Server exposes 12 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.
All 12 Mio tools available for AutoGen
When AutoGen connects to Mio through Vinkius, your AI agent gets direct access to every tool listed below — spanning interoperability, outbound-calling, call-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new notification
Remove a webhook
Get user profile
Get specific call info
Get AI call summary
Get call text log
Check account funds
List AI voices
List all call logs
Get active webhooks
Start an AI phone call
Stop active call
Connect Mio to AutoGen via MCP
Follow these steps to wire Mio into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Mio MCP Server
AutoGen provides unique advantages when paired with Mio through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mio tools to solve complex tasks
Role-based architecture lets you assign Mio 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 Mio tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mio tool responses in an isolated environment
Mio + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mio MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mio while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mio, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mio data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mio responses in a sandboxed execution environment
Example Prompts for Mio in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Mio immediately.
"Start an AI call to confirm tomorrow's appointment with Sarah."
"Get the transcript and summary for call_890."
"Show available AI voices and my credit balance."
Troubleshooting Mio MCP Server with AutoGen
Common issues when connecting Mio to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mio + AutoGen FAQ
Common questions about integrating Mio MCP Server with AutoGen.