How to Use the Customer.io MCP in AutoGen

Q: How do I register Customer.io tools in AutoGen?

Use mcpservertools with your Vinkius HTTP URL to fetch the tools. Pass the resulting list directly into your AssistantAgent constructor.

Q: How does this Customer.io MCP Server handle AutoGen agent conflicts?

The agents can use getcampaignperformance to settle debates with hard data, ensuring their decisions are backed by actual metrics.

Q: Can I check the API connection status?

Yes, the agents can run getconnectionstatus to ensure they have a stable link before trying to send any messages.

Let your AutoGen agents debate campaign strategy and trigger Customer.io broadcasts based on consensus.

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Connect Customer.io MCP to AutoGen

Create your Vinkius account to connect Customer.io 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.

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Setup Customer.io with AutoGen

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Multi-agent campaign review with AutoGen

The `get_campaign_performance` tool provides the raw metrics your AutoGen agents need to evaluate your marketing efforts. A performance agent can analyze the open rates, while a content agent reviews the messaging, debating how to optimize the campaign. This MCP Server gives your AutoGen agents the data they need to negotiate. The agents negotiate the best path forward before recommending any updates to your active flows.

Coordinate transactional messaging across agents

The `send_transactional_email` tool lets your AutoGen agents send critical notifications after reaching a consensus. For example, a security agent can verify a user request, discuss it with a database agent, and then call this tool to send a password reset. By using `list_transactional_messages`, the agents can also track what has already been sent to prevent duplicate emails. This keeps your automated communication safe, organized, and highly targeted.

Manage audience segments via agent debate

The `list_audience_segments` tool gives your agent group access to your entire customer categorization structure. Your agents can look up segment rules, retrieve members using `list_segment_members`, and decide if a new sub-segment is required. This MCP Server allows your team of agents to manage complex audience structures without human hand-holding. They query the live data, debate the categorization, and prepare the next broadcast.

Setup guide

Set up Customer.io 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 Customer.io 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="Customer.io_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Customer.io 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="Customer.io_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Customer.io 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 Customer.io. 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.

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Common questions about Customer.io MCP in AutoGen

Use mcp_server_tools with your Vinkius HTTP URL to fetch the tools. Pass the resulting list directly into your AssistantAgent constructor.

Yes. Once your agents reach a consensus, one of them can call dispatch_broadcast to send the message.

The agents can use get_campaign_performance to settle debates with hard data, ensuring their decisions are backed by actual metrics.

Yes, the agents can run get_connection_status to ensure they have a stable link before trying to send any messages.

Every API call to fetch customer profiles or campaign metrics runs through this MCP Server inside a secure, isolated V8 sandbox. We enforce zero-trust policies, meaning your customer data is never cached or used for training.

Use it with your favorite AI tools

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

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