SignalWire 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 SignalWire as an MCP tool provider through 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="signalwire_agent",
tools=tools,
system_message=(
"You help users with SignalWire. "
"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 SignalWire MCP Server
Empower your AI agent to orchestrate your entire cloud communication infrastructure with SignalWire, the advanced platform for messaging, voice, and video. By connecting SignalWire to your agent, you transform complex telecom management into a natural conversation. Your agent can instantly list your phone numbers, audit message delivery, and retrieve call logs without you ever touching a technical console. Whether you are providing customer alerts or managing corporate voice lines, your agent acts as a real-time telecom operator, ensuring your communication is always reliable and your usage data is organized.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SignalWire tools. Connect 8 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
- Messaging Intelligence — Send SMS messages instantly and retrieve detailed message status and history.
- Call Auditing — List all recent voice calls and retrieve metadata for each, including direction and duration.
- Number Oversight — List and monitor all incoming phone numbers associated with your project.
- Usage Intelligence — Retrieve detailed usage records to maintain strict organizational control over your communication costs.
- Account Governance — Monitor account-wide metadata to understand your project status in real-time.
The SignalWire 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 SignalWire to AutoGen via MCP
Follow these steps to integrate the SignalWire 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 SignalWire automatically
Why Use AutoGen with the SignalWire MCP Server
AutoGen provides unique advantages when paired with SignalWire through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SignalWire tools to solve complex tasks
Role-based architecture lets you assign SignalWire 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 SignalWire tool calls
Code execution sandbox: AutoGen agents can write and run code that processes SignalWire tool responses in an isolated environment
SignalWire + AutoGen Use Cases
Practical scenarios where AutoGen combined with the SignalWire MCP Server delivers measurable value.
Collaborative analysis: one agent queries SignalWire while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from SignalWire, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using SignalWire data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process SignalWire responses in a sandboxed execution environment
SignalWire MCP Tools for AutoGen (8)
These 8 tools become available when you connect SignalWire to AutoGen via MCP:
get_account_info
Get SignalWire account details
get_call
Get details for a specific call
get_message
Get details for a specific message
list_calls
List recent voice calls
list_messages
List recent SMS/MMS messages
list_phone_numbers
List SignalWire phone numbers
list_usage
Get account usage records
send_sms
Send an SMS message
Example Prompts for SignalWire in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with SignalWire immediately.
"List all my SignalWire phone numbers."
"Send SMS 'Server alert: high usage detected' to +15550123."
"Show me recent call logs for my project."
Troubleshooting SignalWire MCP Server with AutoGen
Common issues when connecting SignalWire to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"SignalWire + AutoGen FAQ
Common questions about integrating SignalWire 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 SignalWire 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 SignalWire to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.