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

Run secure message and voice workflows directly from your OpenAI Agents SDK using this managed Bird (MessageBird) MCP Server.

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OpenAI Agents SDK

Connect Bird (MessageBird) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bird (MessageBird) 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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Send WhatsApp and SMS via OpenAI Agents SDK

`send_message` gives your OpenAI Agents SDK agent the direct ability to dispatch SMS or WhatsApp messages through your Bird workspace. You pass the channel ID and message content, and the agent executes the request while the SDK's built-in guardrails validate the payload format before it hits the wire. Because OpenAI Agents SDK supports strict schema validation, your agent won't hallucinate channel IDs or format phone numbers incorrectly. You get clean, predictable outbound messaging without writing custom API wrappers.

Manage contacts securely with OpenAI Agents SDK

`create_contact` and `update_contact` allow your agent to build and modify customer profiles inside your Bird workspace using JSON-formatted identifiers. The agent queries existing records via `list_contacts` and `get_contact` to check for duplicates before making changes. If the agent attempts to write invalid metadata, the OpenAI Agents SDK guardrails halt the execution. This setup keeps your customer database clean while letting the agent update records autonomously during live customer interactions.

Track voice calls and chats in OpenAI Agents SDK

`list_calls`, `get_call`, `list_conversations`, and `list_messages` feed raw communication logs directly into your agent's execution context. Your agent reads active conversation threads to understand historical context before initiating any new outbound tasks. You can configure agent handoffs in the OpenAI Agents SDK to pass a caller's details from a triaging agent to a specialized support agent. This ensures that the agent handling the ticket has the exact call logs and message history pulled from the Bird workspace.

Setup guide

Set up Bird (MessageBird) 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. 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. 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 (MessageBird) tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bird (MessageBird) 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 (MessageBird) Agent",
            instructions="You have access to Bird (MessageBird) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bird. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bird (MessageBird) MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize the server with `MCPServerStreamableHttp`. Pass this instance into your Agent constructor using the `mcp_servers` list. Enable `cacheToolsList=True` to prevent redundant tool discovery calls.
Yes, by invoking `send_message` with the appropriate WhatsApp channel ID and payload. The OpenAI Agents SDK validates the parameters against the Bird schema before sending. This ensures your agent uses the exact template structure required by the Bird API.
The SDK relies on the underlying Vinkius sandbox to manage connection pooling and basic transport stability. If Bird returns a rate limit error during a `list_messages` run, your agent receives the error directly. You can handle this using standard Python try-except blocks in your agent loop.
No, this server does not route live voice calls in real-time. It exposes `get_call` and `list_calls` to let your agent inspect call logs and metadata. Your agent uses this data to make decisions, but actual voice routing is handled on the Bird platform.
Your phone numbers, email addresses, and message histories are protected within the Vinkius V8 isolate sandbox. No data is stored on Vinkius servers, and the sandbox destroys itself after execution. This keeps your sensitive Bird contact profiles isolated from other processes.

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