How to Use the Treblle MCP in OpenAI Agents SDK

Q: Can Treblle handle SSNs when working with OpenAI Agents SDK?

Yes. The ingestapidata tool specifically masks sensitive fields, including Social Security Numbers (SSNs), ensuring they aren't transmitted or stored in plain text.

Real-time API Observability for OpenAI Agents SDK

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Connect Treblle MCP to OpenAI Agents SDK

Create your Vinkius account to connect Treblle 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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Setup Treblle with OpenAI Agents SDK

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Monitor API Traffic with Treblle MCP Server

The `ingest_api_data` tool lets your agent monitor and analyze live API traffic. You feed it request and response data, getting instant observability right where you need it. This process is critical for debugging complex workflows. It documents all the calls your production agents make so you know exactly what's going on.

Secure Data Ingestion into OpenAI Agents SDK

Treblle handles sensitive data before it ever hits your system. When using `ingest_api_data`, the server automatically masks things like passwords, CCs, and SSNs. This built-in masking means you can analyze traffic logs without worrying about compliance risks or exposing private user details.

Real-Time API Documenting for OpenAI Agents SDK

You get instant insight into your application's behavior with the `ingest_api_data` tool. It ingests request and response data streams as they happen, allowing immediate analysis. This capability means you don't wait for batch reports; you see exactly how the API is performing in real-time as your agent executes its tasks.

Setup guide

Set up Treblle 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

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

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 Treblle tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Treblle tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Treblle 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="Treblle Agent",
            instructions="You have access to Treblle tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Treblle MCP in OpenAI Agents SDK

Treblle automatically masks sensitive fields like passwords, credit card numbers (CCs), and SSNs before transmission. This keeps your captured API traffic logs compliant and safe.

It provides real-time monitoring, letting you document and analyze every piece of API traffic—both requests and responses. You get a full picture of what your agents are doing.

Yes. The `ingest_api_data` tool specifically masks sensitive fields, including Social Security Numbers (SSNs), ensuring they aren't transmitted or stored in plain text.

Absolutely. The tool is designed to ingest API traffic as it happens, giving you instant observability instead of relying on delayed log files or batch processing.

It handles sensitive personal identifiers, specifically passwords, credit card numbers (CCs), and Social Security Numbers (SSNs). All these fields are masked automatically.

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