Treblle MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Ingest Api Data

Name: Treblle
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Treblle through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Treblle MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Treblle Assistant",
            instructions=(
                "You help users interact with Treblle. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Treblle"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Treblle MCP Server

Connect your Treblle account to your AI agent to streamline API monitoring and observability. This server allows you to send API traffic data directly to Treblle, helping you maintain high-quality documentation and security standards.

The OpenAI Agents SDK auto-discovers all 1 tools from Treblle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Treblle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

API Ingestion — Send full request and response payloads to your Treblle dashboard using the ingest_api_data tool.
Observability — Monitor API performance and errors in real-time as your agent processes or simulates traffic.
Automatic Masking — Ensure security with Treblle's built-in masking for sensitive fields like passwords and credit card numbers.
Custom Metadata — Attach trace IDs, user IDs, or environment identifiers to your ingested data for better filtering.

The Treblle MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Treblle tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Treblle through Vinkius, your AI agent gets direct access to every tool listed below — spanning api-monitoring, observability, api-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

ingest

Ingest api data on Treblle

Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle

Connect Treblle to OpenAI Agents SDK via MCP

Follow these steps to wire Treblle into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 1 tools from Treblle

Why Use OpenAI Agents SDK with the Treblle MCP Server

OpenAI Agents SDK provides unique advantages when paired with Treblle through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Treblle + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Treblle MCP Server delivers measurable value.

Automated workflows: build agents that query Treblle, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Treblle, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Treblle tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Treblle to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Treblle in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Treblle immediately.

"Ingest this API request and response data into Treblle: { "server": { ... }, "request": { ... }, "response": { ... } }"

"Send this API error payload to Treblle with metadata trace-id 'abc-123'."

"Log a successful GET request to /users into Treblle using the ingest_api_data tool."

Troubleshooting Treblle MCP Server with OpenAI Agents SDK

Common issues when connecting Treblle to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Treblle + OpenAI Agents SDK FAQ

Common questions about integrating Treblle MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.