How to Use the GrowingIO MCP in AutoGen

Q: How do I register the GrowingIO MCP Server tools in AutoGen?

Install autogen-extmcp and use the server tools adapter with your Vinkius URL. Pass the generated tools array directly to your AutoGen assistant agent constructor to enable multi-agent queries.

Q: Can AutoGen agents coordinate to analyze GrowingIO segments?

Yes, one AutoGen agent can call listsegments to find active groups, while another agent retrieves the user list using getsegmentusers to plan a targeted campaign.

Q: How do AutoGen agents handle conflicting data from GrowingIO?

The AutoGen agents debate the results of getmetrics and getevent in a group chat. They analyze different dimensions of the same event until they reach a mathematically consistent conclusion.

Run consensus-driven marketing audits by connecting GrowingIO to your AutoGen agent debates.

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Connect GrowingIO MCP to AutoGen

Create your Vinkius account to connect GrowingIO 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 GrowingIO with AutoGen

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Consensus-Driven Funnel Audits in AutoGen

Let your AutoGen agents debate GrowingIO conversion drops before taking action. This MCP Server integration lets your agents debate conversion drops before taking action. One AutoGen agent can pull funnel steps using `get_funnel`, while a second agent challenges the drop-off metrics by querying `get_metrics`. They negotiate inside AutoGen to find the root cause of the churn. This collaborative debugging prevents knee-jerk marketing changes. The AutoGen agents use `list_segments` to identify affected GrowingIO user groups and reach a consensus on which cohort needs immediate attention.

Multi-Agent Campaign Verification

Optimize your GrowingIO ad spend through automated AutoGen debate. Your AutoGen performance agent calls `list_ads` to pull campaign metadata, while a finance agent queries `get_project_info` to check budget alignment. By comparing active campaigns against project settings, they flag discrepancies in your GrowingIO setup. The AutoGen agents communicate autonomously, only alerting you when they find a critical tracking misalignment.

Automated Tracking Validation

Keep your GrowingIO analytics clean using a dedicated AutoGen QA agent team. The AutoGen validation agent calls `list_variables` and `list_log_sources` to check the integrity of your incoming data streams. This MCP Server setup ensures your GrowingIO tracking configuration is constantly audited without manual oversight. If a GrowingIO variable is missing, the AutoGen agent alerts the development agent to inspect the codebase.

Setup guide

Set up GrowingIO 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 GrowingIO 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="GrowingIO_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent GrowingIO 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 GrowingIO. 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 GrowingIO MCP in AutoGen

Install `autogen-ext[mcp]` and use the server tools adapter with your Vinkius URL. Pass the generated tools array directly to your AutoGen assistant agent constructor to enable multi-agent queries.

Yes, one AutoGen agent can call `list_segments` to find active groups, while another agent retrieves the user list using `get_segment_users` to plan a targeted campaign.

The AutoGen agents debate the results of `get_metrics` and `get_event` in a group chat. They analyze different dimensions of the same event until they reach a mathematically consistent conclusion.

Yes, the adapter handles both stdio and streamable HTTP transports, allowing you to run your AutoGen agents locally or in a distributed environment.

All communications between AutoGen and GrowingIO are routed through a zero-trust, ephemeral sandbox. Your raw campaign metadata and user lists are never stored, keeping your proprietary metrics completely private.

Use it with your favorite AI tools

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