MessageFlow 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 MessageFlow 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="MessageFlow Assistant",
instructions=(
"You help users interact with MessageFlow. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MessageFlow"
)
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 MessageFlow MCP Server
Connect your MessageFlow account to any AI agent and take full control of your cross-channel communications through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from MessageFlow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MessageFlow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Omnichannel Dispatch — Send messages across SMS, WhatsApp, and Email using a unified set of tools
- Delivery Auditing — Retrieve real-time status updates and delivery reports for every message sent
- Template Management — List and inspect saved message templates for consistent communication
- Channel Orchestration — Enumerate available communication channels and their specific configurations
- Account Visibility — Monitor your financial balance and limits to ensure continuous operation
The MessageFlow 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 MessageFlow to OpenAI Agents SDK via MCP
Follow these steps to integrate the MessageFlow 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 MessageFlow
Why Use OpenAI Agents SDK with the MessageFlow MCP Server
OpenAI Agents SDK provides unique advantages when paired with MessageFlow 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
MessageFlow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MessageFlow MCP Server delivers measurable value.
Automated workflows: build agents that query MessageFlow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MessageFlow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MessageFlow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MessageFlow to resolve tickets, look up records, and update statuses without human intervention
MessageFlow MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect MessageFlow to OpenAI Agents SDK via MCP:
get_account_balance
Get account balance
get_delivery_status
Get message delivery status
get_template
Get template details
list_channels
). List all communication channels
list_messages
List sent messages
list_templates
List message templates
send_email
Send an email message
send_generic_message
Send a message through any channel
send_sms
Send an SMS message
send_whatsapp
Send a WhatsApp message
Example Prompts for MessageFlow in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MessageFlow immediately.
"Send a WhatsApp message to '+1234567890' saying 'Your order is on the way!'"
"Check the delivery status for message ID 'mf-12345'."
"What is my current MessageFlow account balance?"
Troubleshooting MessageFlow MCP Server with OpenAI Agents SDK
Common issues when connecting MessageFlow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MessageFlow + OpenAI Agents SDK FAQ
Common questions about integrating MessageFlow 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 MessageFlow 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 MessageFlow to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.