How do I get my API Secret for Redo?

Log in to your Redo dashboard, navigate to Settings > API, and you can generate or copy your active secret key.

Are shipping protection claims handled differently than returns?

No, Redo treats shipping protection claims (for lost, damaged, or stolen items) as a specific type of return record, accessible via the same tools.

Can I approve a return request directly through the agent?

Yes! Use the 'approve_return_claim' tool and provide the Return ID. The agent will update the status in Redo instantly.

How do I see the reasons why customers are returning items?

The 'get_return_details' tool retrieves the full metadata for any request, which includes the specific return reason code and customer comments.

Redo MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Redo
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Redo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "redo": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Redo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Redo through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Redo MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Redo via MCP

Why Use LangChain with the Redo MCP Server

LangChain provides unique advantages when paired with Redo through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Redo MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Redo queries for multi-turn workflows

Redo + LangChain Use Cases

Practical scenarios where LangChain combined with the Redo MCP Server delivers measurable value.

RAG with live data: combine Redo tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Redo, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Redo tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Redo tool call, measure latency, and optimize your agent's performance

Redo MCP Tools for LangChain (12)

These 12 tools become available when you connect Redo to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Redo to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Redo + LangChain FAQ

Common questions about integrating Redo MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.