MessageBird 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 MessageBird through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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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="MessageBird Assistant",
instructions=(
"You help users interact with MessageBird. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MessageBird"
)
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 MessageBird MCP Server
Empower your AI agent to orchestrate your entire global communication strategy with MessageBird, the leading omnichannel platform. By connecting MessageBird to your agent, you transform complex messaging workflows into a natural conversation. Your agent can instantly send SMS to multiple recipients, audit your contact database, and check your real-time account balance without you ever touching a dashboard. Whether you are providing verification codes or managing marketing broadcasts, your agent acts as a real-time communication coordinator, ensuring your messages are delivered and your audience data is organized.
The OpenAI Agents SDK auto-discovers all 10 tools from MessageBird through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MessageBird, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Messaging Intelligence — Send SMS messages to global recipients and retrieve detailed delivery status and history.
- Contact Auditing — List and retrieve detailed metadata for your global contact database and groups.
- Financial Oversight — Check your real-time account balance to maintain strict organizational control over your costs.
- Channel Management — List configured communication channels to ensure your omnichannel strategy is active.
- Network Intelligence — List HLR (Home Location Register) requests to verify number validity and network status.
The MessageBird 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 MessageBird to OpenAI Agents SDK via MCP
Follow these steps to integrate the MessageBird 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 MessageBird
Why Use OpenAI Agents SDK with the MessageBird MCP Server
OpenAI Agents SDK provides unique advantages when paired with MessageBird 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
MessageBird + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MessageBird MCP Server delivers measurable value.
Automated workflows: build agents that query MessageBird, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MessageBird, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MessageBird tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MessageBird to resolve tickets, look up records, and update statuses without human intervention
MessageBird MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect MessageBird to OpenAI Agents SDK via MCP:
get_balance
Get current MessageBird account balance
get_contact
Get details for a specific contact
get_group
Get details for a specific group
get_message
Get details for a specific message
list_channels
List configured channels
list_contacts
List MessageBird contacts
list_groups
List contact groups
list_hlr
List HLR (Network Lookup) requests
list_messages
List recent SMS messages
send_sms
Send an SMS message
Example Prompts for MessageBird in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MessageBird immediately.
"Check my MessageBird account balance."
"List the last 5 SMS messages sent from my account."
"Send SMS 'Your discount code is VINKIUS20' to +15550123."
Troubleshooting MessageBird MCP Server with OpenAI Agents SDK
Common issues when connecting MessageBird to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MessageBird + OpenAI Agents SDK FAQ
Common questions about integrating MessageBird 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 MessageBird 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 MessageBird to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.