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How to Use the AB.GL MCP in AutoGen

Debate and refine your link strategies in AutoGen using AB.GL tools for multi-agent coordination.

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AutoGen

Connect AB.GL MCP to AutoGen

Create your Vinkius account to connect AB.GL 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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Multi-agent debate on AB.GL link strategy

Let your performance agent and security agent discuss link creation. The performance agent calls `create_short_link` while the security agent verifies the destination. They reach a consensus before finalizing the record. You define the logic for how they negotiate the final outcome.

Automate cleanup with an AutoGen MCP Server

Assign a cleanup agent to monitor your account with `list_links`. It debates with the archiving agent to decide which items to remove via `delete_link`. You avoid accidental deletions through this verification process. The agents check the age and click performance before taking action.

Negotiate link updates across agents

Use `update_link` to change destinations based on multi-agent feedback. Your marketing agent proposes a new URL, and the QA agent confirms the redirect works. They converge on a final decision. You only see the result of their deliberation.

Setup guide

Set up AB.GL MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes AB.GL 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="AB.GL_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AB.GL MCP in AutoGen

Yes, they access the same MCP Server instance. You pass the tools to your agents to enable collaborative link management.
They evaluate the task requirements and call the specific tool. You set the system prompt to guide their decision-making process.
It handles concurrent calls through the standard transport. Your agents maintain their conversation state while executing link operations.
You define the endpoint in your configuration. The adapter handles the schema conversion so your agents recognize the tools immediately.
Your account details are protected by an ephemeral Vinkius session. No agent outside your specific multi-agent group can see or modify your link data.

Start using the AB.GL MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for AB.GL. Just plug in your AI agents and start using Vinkius.

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