Redo MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Redo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Redo Assistant",
instructions=(
"You help users interact with Redo. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Redo"
)
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 Redo MCP Server
Connect your Redo account to any AI agent to automate your returns management and shipping protection workflows through the Model Context Protocol (MCP). Redo provides a comprehensive suite for handling customer returns, exchanges, and package protection claims for lost or damaged items. This MCP server enables you to track return requests, approve claims, and process final resolutions directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Redo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Redo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Returns & Claims Oversight — List all return requests and shipping protection claims, checking their status and customer metadata instantly.
- Status Automation — Update the lifecycle status of a return (e.g., approved, rejected) programmatically from your chat interface.
- Resolution Processing — Trigger final actions like refunds, store credits, or exchange order creation for lost or damaged packages.
- Collaborative Notes — Add internal comments and communication logs to any return or claim record for better team alignment.
- Coverage Discovery — Access high-level information about your shipping protection settings and eligible products.
- Shipping Rate Calculation — Retrieve real-time shipping rates for return packages to estimate costs for your customers.
- Webhook Visibility — Monitor active webhooks to ensure your internal systems are receiving real-time return notifications.
- Real-time Synchronization — Keep your post-purchase operations accessible to your AI assistant without leaving your primary workspace.
The Redo MCP Server exposes 12 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 Redo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Redo 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 12 tools from Redo
Why Use OpenAI Agents SDK with the Redo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Redo 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
Redo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Redo MCP Server delivers measurable value.
Automated workflows: build agents that query Redo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Redo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Redo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Redo to resolve tickets, look up records, and update statuses without human intervention
Redo MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Redo to OpenAI Agents SDK via MCP:
add_internal_note
Post a return comment
approve_return_claim
Approve a request
get_protection_summary
Get coverage details
get_return_details
Get return metadata
get_return_shipping_rates
Get shipping costs
get_store_details
Get store metadata
list_protected_items
List covered products
list_return_webhooks
List webhook configs
list_store_returns
List returns/claims
process_final_resolution
Finalize return/claim
reject_return_claim
Reject a request
verify_api_connection
Check connection
Example Prompts for Redo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Redo immediately.
"List the last 5 pending return requests."
"Approve the return claim for ID 'ret_abc123'."
"Get the shipping rates for return 'ret_abc123'."
Troubleshooting Redo MCP Server with OpenAI Agents SDK
Common issues when connecting Redo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Redo + OpenAI Agents SDK FAQ
Common questions about integrating Redo 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.Does the SDK support streaming responses?
Connect Redo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Redo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.