How to Use the Unbounce MCP in AutoGen

Q: What specific data types does the Unbounce MCP Server touch?

The server handles page metadata (getpage), account structures (sub-accounts), and lead details (listleads).

Run consensus-driven decision making on Unbounce data using AutoGen.

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Create your Vinkius account to connect Unbounce 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 Unbounce with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate Best Practices for Leads

Set up a debate between agents. One agent uses `list_leads` to gather raw performance metrics, while another calls `get_lead` to verify specific details about a high-value prospect. The consensus engine then weighs the arguments—'Is this lead qualified?'—using data gathered from both tools, resulting in a single decision.

Verify Account Deployment Strategy

Give two agents conflicting goals: one checks all `list_accounts` for compliance, and another calls `list_sub_accounts` to confirm the actual operational status of clients. The resulting debate forces a comprehensive review. The system converges on the most accurate and compliant state across your entire Unbounce setup.

Audit Page Content Conflicts

Run an agent simulation where one checks `list_pages` for existence, while another uses `get_page` to retrieve content details. They debate if the page is complete and ready for launch. This process simulates a critical review loop. You don't just get data; you get a decision based on that data.

Setup guide

Set up Unbounce 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 Unbounce 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="Unbounce_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

AutoGen runs multiple agents in conversation, challenging each other using the tools. You can pass `list_pages` or `get_page` results to different agents to force them to debate the best course of action.

Yes. By connecting the MCP Server, your agent pool gets immediate access to all 10 tools, allowing multiple perspectives on everything from domain setup (`list_domains`) to lead generation.

You can debate structural integrity. For instance, one agent might use `list_page_groups` while another uses `get_me` to verify user permissions needed for those groups.

You connect the server tools directly. The agents then treat these functions like talking points, discussing which tool call is necessary and why.

The server handles page metadata (`get_page`), account structures (sub-accounts), and lead details (`list_leads`).

Use it with your favorite AI tools

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

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