How to Use the OpenPanel MCP in OpenAI Agents SDK
Track user behavior and update profiles from your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect OpenPanel MCP to OpenAI Agents SDK
Create your Vinkius account to connect OpenPanel to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Automatic tool discovery for your agents
Your OpenAI Agents SDK instance picks up the server tools the moment you connect. You don't need to write manual wrappers for `track_event` or `identify_user`. Everything stays within your agent context, allowing your production system to log user actions without leaving the Python environment.
Real-time user state management
Use `increment_property` and `decrement_property` to adjust user counts or usage quotas on the fly. This keeps your analytics current as the agent processes data. Your agent handles state transitions directly, ensuring that your backend logic reflects the actual interactions happening in the session.
Reliable event logging via MCP
This MCP server funnels telemetry straight into your analytics dashboard. Every `track_event` call is treated as a first-class action by your agent. Because this is a standard MCP implementation, you can trust the data flow between your agent and the OpenPanel backend.
Set up OpenPanel 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 OpenPanel tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives OpenPanel tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate OpenPanel 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="OpenPanel Agent",
instructions="You have access to OpenPanel 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 OpenPanel. 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 OpenPanel MCP in OpenAI Agents SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the OpenPanel MCP today
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