SignalWire MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SignalWire through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="SignalWire Assistant",
instructions=(
"You help users interact with SignalWire. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SignalWire"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 8 tools from SignalWire through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SignalWire, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 SignalWire to OpenAI Agents SDK via MCP
Follow these steps to integrate the SignalWire 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 SignalWire
Why Use OpenAI Agents SDK with the SignalWire MCP Server
OpenAI Agents SDK provides unique advantages when paired with SignalWire 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
SignalWire + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SignalWire MCP Server delivers measurable value.
Automated workflows: build agents that query SignalWire, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries SignalWire, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SignalWire tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SignalWire to resolve tickets, look up records, and update statuses without human intervention
SignalWire MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect SignalWire to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting SignalWire to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SignalWire + OpenAI Agents SDK FAQ
Common questions about integrating SignalWire MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.