How to Use the GoSquared MCP in OpenAI Agents SDK
Bring live web traffic data directly into your OpenAI Agents SDK workflows for instant, data-backed decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GoSquared MCP to OpenAI Agents SDK
Create your Vinkius account to connect GoSquared 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.
Real-time traffic visibility in OpenAI Agents SDK
Your agent pulls live visitor counts and active page data without leaving the development environment. It uses `get_now_overview` and `get_now_pages` to give you an immediate pulse on current site activity. Stop guessing what your users are doing. Your agent identifies exactly which traffic sources are driving current engagement through `get_now_sources`.
Historical performance analysis for your agent
Feed long-term site data into your logic pipelines using `get_trends_overview` and `get_trends_pages`. This lets your agent compare current spikes against established baselines. Your agent interprets shifts in user behavior over time by querying `get_trends_browsers` and `get_trends_devices`. It creates a clear picture of how technical changes impact your audience.
Automated campaign tracking for OpenAI Agents SDK
Let your agent monitor marketing efficacy by surfacing active campaign metrics with `get_now_campaigns`. It flags performance dips the moment they happen. Historical campaign data from `get_trends_campaigns` allows your agent to spot recurring patterns. You gain a persistent record of what works without manual dashboard auditing.
Set up GoSquared 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 GoSquared tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives GoSquared tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate GoSquared 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="GoSquared Agent",
instructions="You have access to GoSquared 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 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.
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 GoSquared MCP in OpenAI Agents SDK
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