Sinch MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sinch 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="Sinch Assistant",
instructions=(
"You help users interact with Sinch. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Sinch"
)
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 Sinch MCP Server
Connect your AI to Sinch, the global cloud communications platform for SMS messaging at scale.
The OpenAI Agents SDK auto-discovers all 10 tools from Sinch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sinch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Send Messages — Dispatch individual or bulk SMS messages to any phone number or contact group.
- Delivery Tracking — Check delivery reports to see which messages were delivered, pending, or failed.
- Batch Management — List, update, or cancel SMS batches before they're delivered.
- Contact Groups — Create and manage contact groups for targeted campaign messaging.
The Sinch MCP Server exposes 10 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 Sinch to OpenAI Agents SDK via MCP
Follow these steps to integrate the Sinch 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 10 tools from Sinch
Why Use OpenAI Agents SDK with the Sinch MCP Server
OpenAI Agents SDK provides unique advantages when paired with Sinch 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
Sinch + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Sinch MCP Server delivers measurable value.
Automated workflows: build agents that query Sinch, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Sinch, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Sinch tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Sinch to resolve tickets, look up records, and update statuses without human intervention
Sinch MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Sinch to OpenAI Agents SDK via MCP:
cancel_sms_batch
This action is irreversible for the remaining messages. Cancels a pending SMS batch
create_sms_group
Creates a new contact group
delete_sms_group
This action is irreversible. Permanently deletes a contact group
get_batch_details
Retrieves details for a specific SMS batch
get_delivery_report
Retrieves a delivery report for a specific batch
get_group_details
Retrieves details for a specific contact group
list_sms_batches
Lists recent SMS batches
list_sms_groups
Lists all contact groups
send_sms
You can provide multiple phone numbers in the "to" field. Ensure numbers are in international format (e.g., +1234567890). Sends a text message (SMS) to one or more recipients
update_sms_batch
Updates parameters of an existing SMS batch
Example Prompts for Sinch in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Sinch immediately.
"Send an SMS to +1234567890 saying 'Your order has been shipped!'"
"Get the delivery report for batch 9876."
Troubleshooting Sinch MCP Server with OpenAI Agents SDK
Common issues when connecting Sinch to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Sinch + OpenAI Agents SDK FAQ
Common questions about integrating Sinch 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 Sinch 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 Sinch to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
