How to Use the GoSquared MCP in AutoGen

Q: Can AutoGen agents use GoSquared trends for strategy?

Yes, agents can call gettrendsoverview to establish a baseline for their debate. This ensures their conclusions are based on long-term data rather than momentary spikes.

Enable AutoGen agents to debate your GoSquared traffic trends and reach a consensus on marketing actions.

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Connect GoSquared MCP to AutoGen

Create your Vinkius account to connect GoSquared 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 GoSquared with AutoGen

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Multi-agent debate on GoSquared data

Assign agents to review different segments of your traffic. One agent evaluates `get_now_overview` while another checks `get_now_sources` for quality. They discuss the findings and reach a consensus. You get a single, well-reasoned recommendation rather than conflicting reports.

Automated performance negotiation

Let your agents negotiate based on historical data. A performance agent might push for more spend based on `get_trends_campaigns`, while a budget agent challenges the ROI. They use the server tools to settle the dispute. This removes bias from your decision-making process.

Dynamic MCP Server integration

The McpToolAdapter automatically converts GoSquared schemas for your agents. They know exactly how to use `get_trends_pages` to evaluate site health. Agents execute these tools independently during their conversation. They gather the evidence needed to support their arguments.

Setup guide

Set up GoSquared 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 GoSquared 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="GoSquared_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoSquared. 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 GoSquared MCP in AutoGen

Agents communicate within a shared conversation loop. When one agent triggers a tool like `get_now_visitors`, the result is broadcast to all participating agents for analysis.

Yes, agents can call `get_trends_overview` to establish a baseline for their debate. This ensures their conclusions are based on long-term data rather than momentary spikes.

The server supports both stdio and Streamable HTTP. You simply pass the endpoint to the constructor, and the agents handle the tool calls automatically.

You define the agent's role and constraints in the system prompt. This keeps the focus on the data that matters most for your current objectives.

Data is contained within your ephemeral session. No external agents or unauthorized processes can view the specific visitor traffic records retrieved during the negotiation.

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