Loop MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Add Internal Note, Get Feedback Details, Get Me, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Loop through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Loop app connector for OpenAI Agents SDK is a standout in the Ecommerce category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Loop Assistant",
instructions=(
"You help users interact with Loop. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Loop"
)
print(result.final_output)
asyncio.run(main())
* 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 Loop MCP Server
Connect your Loop account to any AI agent and manage returns through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Loop through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Loop, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Return Tracking — Browse return requests with status and reason codes
- Exchange Management — Track product exchanges and new order creation
- Refund History — Monitor refunds with amounts and processing status
- Return Analytics — Access return rates, top reasons, and trend data
- Customer Returns — View return history per customer
The Loop MCP Server exposes 10 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.
All 10 Loop tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Loop through Vinkius, your AI agent gets direct access to every tool listed below — spanning returns-management, refund-automation, exchange-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add an internal note to a feedback item
Get details of a specific feedback item
Get account information
Get overall sentiment analytics
Get details of a developer ticket
List AI-generated developer tickets
List customer feedback items in Loop
) providing feedback. List integrated feedback sources
List recurring feedback themes
List projects in Loop
Connect Loop to OpenAI Agents SDK via MCP
Follow these steps to wire Loop into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Loop MCP Server
OpenAI Agents SDK provides unique advantages when paired with Loop 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
Loop + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Loop MCP Server delivers measurable value.
Automated workflows: build agents that query Loop, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Loop, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Loop tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Loop to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Loop in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Loop immediately.
"Show return requests from this week and top return reasons."
"Show return analytics and products with highest return rates."
"Show return history for customer sarah@company.com and pending refunds."
Troubleshooting Loop MCP Server with OpenAI Agents SDK
Common issues when connecting Loop to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Loop + OpenAI Agents SDK FAQ
Common questions about integrating Loop MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.