How to Use the Appcues MCP in AutoGen

Q: How does the system know if a flow was successfully unpublished?

The acting agent calls the MCP tool for unpublishflow and reads the response. It then reports the result back to the group chat so the other agents know the task is complete.

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Create your Vinkius account to connect Appcues 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 Appcues with AutoGen

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Coordinate Appcues updates with AutoGen

Pushing changes to your product guides requires careful review. You can assign one agent to draft the update while another acts as a reviewer checking for errors. The reviewer agent runs `check_appcues_status` to ensure the system is operational. Once both agents agree the content is safe, they execute `publish_flow` together.

Debate user deletion requests

Wiping a customer record is irreversible and demands scrutiny. A compliance agent receives the request and pulls the profile using the MCP integration via `get_user` to verify identity. A separate retention agent argues to keep the record if the account is still active. They negotiate the outcome before anyone is allowed to call `delete_user`.

Analyze segments through the MCP Server

Marketing and product agents often disagree on who should see a new feature announcement. They can resolve this by pulling hard numbers via `list_segments`. The product agent might run `get_segment` to check the exact filtering criteria. After debating the audience overlap, the group reaches a consensus on which group to target.

Setup guide

Set up Appcues 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 Appcues 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="Appcues_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Appcues_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Initialize the MCP Server tools with your Vinkius HTTP endpoint. The McpToolAdapter automatically converts the tool schemas for your AssistantAgent.

They share the same toolset during their conversation. One agent might fetch data while another evaluates it and decides whether to trigger an action.

Onboarding guides directly impact user retention. Having a quality assurance agent challenge a product manager agent prevents broken flows from going live.

The acting agent calls the MCP tool for unpublish_flow and reads the response. It then reports the result back to the group chat so the other agents know the task is complete.

Everything processes within a V8 Isolate Sandbox that terminates instantly after the job. Your user IDs, onboarding progress, and segment rules never touch persistent storage.

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