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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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`.
Set up AB.GL MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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
Use it with your favorite AI tools
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