How to Use the Bird (MessageBird) MCP in AutoGen

Q: Can I use AutoGen to monitor and triage Bird (MessageBird) voice calls?

Yes, you can assign an agent to poll listcalls and analyze recent call metrics. If a call is flagged as missed, the triage agent coordinates with a messaging agent to initiate a follow-up thread.

Q: How do I register the Bird (MessageBird) tools in my AutoGen setup?

You use the mcpservertools helper with your server's HTTP parameters to fetch the tool definitions. Pass this list directly to your AssistantAgent constructor so the agents can use tools like listconversations.

Q: How does the AutoGen MCP adapter handle schema conversion for creating contacts?

The McpToolAdapter automatically translates the schema for createcontact into the format AutoGen expects. Your agents can pass the required JSON string of identifiers without manual schema mapping.

Deploy AutoGen multi-agent squads to coordinate, draft, and send Bird (MessageBird) messages.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bird (MessageBird) MCP to AutoGen

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

GDPR Free for Subscribers

Setup Bird (MessageBird) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run multi-agent debates before sending Bird messages

The `send_message` tool executes outbound communications only after your AutoGen agents reach a consensus. A copywriter agent drafts the SMS or WhatsApp text, while a compliance agent reviews the content before triggering the send. This multi-agent verification prevents errors from reaching your customers. Once both agents approve, the designated sender agent invokes the tool with the validated channel ID.

Resolve contact conflicts using an AutoGen squad

The `get_contact` tool pulls profile data into your AutoGen discussion group when a contact conflict is detected. One agent analyzes the existing profile, while another matches it against incoming CRM updates. If the agents agree on the changes, they invoke `update_contact` with the consolidated metadata. This cooperative approach ensures your workspace contacts remain clean and free of duplicates.

Coordinate call follow-ups with AutoGen agents

The `list_calls` tool provides your AutoGen agents with a list of recent voice interactions to analyze using the MCP Server. A triage agent identifies missed calls, while a scheduling agent decides the best channel for a follow-up. The agents negotiate the next step, then use `get_conversation` to check if there is an active text thread. They coordinate to send a follow-up message on the channel the customer uses most.

Setup guide

Set up Bird (MessageBird) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Bird (MessageBird) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Bird (MessageBird)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Bird (MessageBird) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Bird (MessageBird)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Bird (MessageBird) data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bird (MessageBird) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bird (MessageBird) MCP in AutoGen

One agent drafts the message text while another verifies the recipient's details using `get_contact`. Once both agents agree on the payload, the primary agent calls `send_message` to dispatch the SMS or WhatsApp.

Yes, you can assign an agent to poll `list_calls` and analyze recent call metrics. If a call is flagged as missed, the triage agent coordinates with a messaging agent to initiate a follow-up thread.

You use the `mcp_server_tools` helper with your server's HTTP parameters to fetch the tool definitions. Pass this list directly to your AssistantAgent constructor so the agents can use tools like `list_conversations`.

The McpToolAdapter automatically translates the schema for `create_contact` into the format AutoGen expects. Your agents can pass the required JSON string of identifiers without manual schema mapping.

All communications containing contact profiles and conversation data run through ephemeral Vinkius V8 isolates via our secure MCP hosting. Your API credentials are never exposed to the agents or saved in any logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript