Can I see which customers have an expired OAuth connection through my agent?

Yes. Use the `list_connections` tool to retrieve all authenticated linked accounts. Your agent will report the current status of each connection, helping you identify which users need to re-authenticate their external platforms.

How do I check if a data synchronization failed recently?

The `list_syncs` tool retrieves the synchronization history for a specific connection. Your agent will expose the log outputs and status indicators, allowing you to debug data processing issues directly from your conversation.

Can my agent retrieve synchronized data records from external APIs?

Absolutely. Use the `list_records` tool with a Connection ID and a model name (e.g., 'contacts'). Your agent will query Nango's storage to fetch the raw synchronized objects, bypassing external API limits natively.

Nango (Unified API & Integration Platform) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Nango (Unified API & Integration Platform)
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nango (Unified API & Integration Platform) through the 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="Nango (Unified API & Integration Platform) Assistant",
            instructions=(
                "You help users interact with Nango (Unified API & Integration Platform). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Nango (Unified API & Integration Platform)"
        )
        print(result.final_output)

asyncio.run(main())

Nango (Unified API & Integration Platform)

Fully ManagedVinkius Servers

60%Token savings

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 Nango (Unified API & Integration Platform) MCP Server

Connect your Nango account to any AI agent and take full control of your product's integrations, OAuth connections, and automated data synchronization through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Nango (Unified API & Integration Platform) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Nango (Unified API & Integration Platform), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Integration Orchestration — List all configured integration logics across 700+ providers and retrieve detailed sync parameters and provider keys directly from your agent
Connection Management — List and audit authenticated OAuth or credential-based connections to verify which customers have linked which external platforms securely
Sync Monitoring — Track the real-time status and historical logs of automated data synchronizations to identify processing errors or data drift natively
Unified Record Access — Explore actual synchronized data records for specific models (e.g., contacts, deals, tasks) across your entire connection pool securely
Credential Audit — Retrieve precise metadata mapping authentication payloads and token boundaries for any specific Nango connection instantly
Environment Visibility — Inspect your environment's runtime mapping logic and host constraints to ensure your integration infrastructure is healthy and correctly configured

The Nango (Unified API & Integration Platform) MCP Server exposes 7 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 Nango (Unified API & Integration Platform) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Nango (Unified API & Integration Platform) 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 7 tools from Nango (Unified API & Integration Platform)

Why Use OpenAI Agents SDK with the Nango (Unified API & Integration Platform) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Nango (Unified API & Integration Platform) 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

Nango (Unified API & Integration Platform) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Nango (Unified API & Integration Platform) MCP Server delivers measurable value.

Automated workflows: build agents that query Nango (Unified API & Integration Platform), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Nango (Unified API & Integration Platform), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Nango (Unified API & Integration Platform) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Nango (Unified API & Integration Platform) to resolve tickets, look up records, and update statuses without human intervention

Nango (Unified API & Integration Platform) MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Nango (Unified API & Integration Platform) to OpenAI Agents SDK via MCP:

get_connection

Get exact metadata extracting details mapped to a specific Nango connection

get_environment

Retrieve literal environment runtime mapping logic bounds representing the active Nango instance

get_integration

Retrieve explicit parameters mapping a single target Nango integration

list_connections

List instantiated OAuth or credential connections authenticated via Nango

list_integrations

List integration logic configurations available in Nango

list_records

List actual data records synchronized matching a connected provider mapping

list_syncs

List history or current synchronization status mapped to a connection

Example Prompts for Nango (Unified API & Integration Platform) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Nango (Unified API & Integration Platform) immediately.

"List all active Salesforce connections in Nango"

"Show me the last 5 sync logs for connection ID 'conn-123'"

"Fetch the synchronized 'contacts' records for connection 'conn-456'"

Troubleshooting Nango (Unified API & Integration Platform) MCP Server with OpenAI Agents SDK

Common issues when connecting Nango (Unified API & Integration Platform) 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.

Nango (Unified API & Integration Platform) + OpenAI Agents SDK FAQ

Common questions about integrating Nango (Unified API & Integration Platform) 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.