How to Use the Bird (Omnichannel Communication) MCP in OpenAI Agents SDK

Run production-ready messaging agents using the OpenAI Agents SDK to talk to customers over SMS and WhatsApp.

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Connect Bird (Omnichannel Communication) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bird (Omnichannel Communication) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bird (Omnichannel Communication) with OpenAI Agents SDK

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SMS dispatch with built-in OpenAI Agents SDK validation

This MCP Server exposes the `send_sms` tool to route text messages directly through your agent pipelines. The OpenAI Agents SDK intercepts the payload, validating the destination phone number and content against your system instructions before any bytes hit the wire. If the model tries to hallucinate a recipient, the SDK blocks the call. You get full execution traces on your dashboard showing exactly why a text was sent or rejected.

Synchronized contact management across agent handoffs

Your agents use the `create_contact` and `list_contacts` tools to keep your CRM updated during live customer interactions. When a customer changes their details mid-conversation, a specialized agent updates the record and hands off the session to a support agent. The SDK handles these agent transitions in memory. Your CRM data stays clean because the handoff logic ensures only the designated contact agent writes to your database.

Multi-channel chat routing with explicit guardrails

The `send_omnichannel_message` tool lets your agent choose between WhatsApp and Telegram depending on user preference. This MCP Server maps the destination platform dynamically based on real-time conversation state. You define hard guardrails in your Python code to restrict which agents can trigger these external messages. This prevents autonomous loops from sending runaway WhatsApp messages to your customers.

Setup guide

Set up Bird (Omnichannel Communication) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Bird (Omnichannel Communication) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Bird (Omnichannel Communication) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bird (Omnichannel Communication) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Bird (Omnichannel Communication) Agent",
            instructions="You have access to Bird (Omnichannel Communication) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Bird (Omnichannel Communication) MCP in OpenAI Agents SDK

Pass your Vinkius HTTP endpoint URL to the connection parameters. The SDK handles the auth handshake automatically, letting your agent auto-discover tools like `get_balance` and `send_sms` and start using the MCP tools instantly.

Yes, you control this at the Agent constructor level. If you only want an agent to read data, expose `list_conversations` and `get_message_details` while omitting the delete tools.

Yes, it works natively. One agent can query contact history using `list_contacts`, detect a billing issue, and pass the thread to a billing agent who checks `get_balance`.

Set the cache flag to true in your connection configuration. This stops the SDK from querying the server for the tool schema on every single message turn, saving latency on your SMS dispatches.

Vinkius runs this MCP Server inside an isolated V8 sandbox, meaning your raw API keys and customer contact records are never exposed. Message logs and customer phone numbers processed by `get_contact_details` are transmitted over encrypted TLS channels and never stored on the sandbox disk.

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