Can my AI check why a recent data ingestion failed?

Yes. Ask the agent to list the historical runs for a specific flow ID. It will return the execution logs, row counts, and error details, allowing the AI to pinpoint exactly where and why the sync pipeline broke without navigating a UI dashboard.

Which destinations and sources can the agent inventory?

Your agent maps your entire active landscape. It can retrieve both the explicit warehouse targets (e.g. your authorized BigQuery and Snowflake environments) and the vast catalog of pre-built SaaS API connectors available in your Portable environment.

How can I check my workspace extraction limits?

Simply ask the AI to retrieve your account details. It immediately pulls the absolute billing limits, extraction caps, and active feature toggles applied to your organization, providing a clear footprint of your usage.

Portable.io MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: Portable.io
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Portable.io Assistant",
            instructions=(
                "You help users interact with Portable.io. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Portable.io MCP Server

Connect your Portable.io account to your favorite AI agent and take orchestrate your data pipelines through natural language.

The OpenAI Agents SDK auto-discovers all 6 tools from Portable.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Portable.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Data Flows — List configured integration flows and view complex mapping details
Sync Runs — Monitor execution history, track successful row counts, and spot failure logs
Destinations & Connectors — Retrieve all supported SaaS extractors and targeted data warehouses (like Snowflake or BigQuery)
Account Status — Check your workspace bounds and execution limits instantly

The Portable.io MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Portable.io to OpenAI Agents SDK via MCP

Follow these steps to integrate the Portable.io MCP Server with OpenAI Agents SDK.

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 6 tools from Portable.io

Why Use OpenAI Agents SDK with the Portable.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Portable.io 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

Portable.io + OpenAI Agents SDK Use Cases

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

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

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

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

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

Portable.io MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Portable.io to OpenAI Agents SDK via MCP:

get_account

Retrieve the exact workspace and account billing details

get_flow

Get complete configuration details of a specific data flow

list_connectors

List available pre-built API data source connectors

list_destinations

g., Snowflake, BigQuery) currently authorized to receive raw data writes from active flows. List all configured data warehouse destinations

list_flows

List all integration flows configured in Portable

list_runs

List historical execution runs for a specific data flow

Example Prompts for Portable.io in OpenAI Agents SDK

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

"List all active ETL flows running in my Portable workspace."

"Show the recent runs for flow ID 4087 and tell me if any failed."

"What destinations are currently configured to receive data?"

Troubleshooting Portable.io MCP Server with OpenAI Agents SDK

Common issues when connecting Portable.io to OpenAI Agents SDK through the 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.

Portable.io + OpenAI Agents SDK FAQ

Common questions about integrating Portable.io 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.