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How to Use the AB.GL MCP in OpenAI Agents SDK

Shorten URLs and track campaigns directly within your OpenAI Agents SDK pipeline using this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect AB.GL MCP to OpenAI Agents SDK

Create your Vinkius account to connect AB.GL to OpenAI Agents SDK 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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Programmatic link creation via OpenAI Agents SDK

The `create_short_link` tool lets your autonomous agents spin up branded short links on the fly. This turns long, messy tracking URLs into clean, clickable destinations during runtime campaigns.

Real-time analytics tracking with this MCP Server

By calling `get_link_stats`, your agent retrieves click metrics instantly to make budget decisions. Listing your entire portfolio is done using `list_links` to audit active redirects.

Branded bio page and domain management

Control your domain portfolio using the `list_domains` tool inside your agent's decision loops. Querying bio-link pages is simple via `get_bio_link` and `list_bio_links`.

Setup guide

Set up AB.GL MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all AB.GL tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives AB.GL tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AB.GL tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="AB.GL Agent",
            instructions="You have access to AB.GL tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AB.GL. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about AB.GL MCP in OpenAI Agents SDK

Install the SDK with pip, then initialize the server streamable HTTP class with your endpoint URL. Pass the server instance directly into your Agent constructor using the mcp_servers list parameter.
Yes, the SDK's built-in tracing and agent handoffs let you manage execution flow. You can use `check_abgl_status` to verify api health before running high-volume link generation tasks.
Absolutely. Your agent calls `list_domains` to find your verified brand domains, then applies them when executing `create_short_link` to keep your URLs looking professional.
Configure tool discovery settings in the SDK. If you only want the agent to read analytics, expose `get_link_stats` while keeping destructive tools hidden from the MCP client.
Your link destinations and custom domains never touch third-party logging servers. The Vinkius sandbox isolates the runtime, ensuring that your raw URL data flows directly between the OpenAI Agents SDK and the api endpoint.

Start using the AB.GL MCP today

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