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Redo MCP. Process returns and claims, end-to-end, from your chat.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Redo MCP on Cursor AI Code Editor MCP Client Redo MCP on Claude Desktop App MCP Integration Redo MCP on OpenAI Agents SDK MCP Compatible Redo MCP on Visual Studio Code MCP Extension Client Redo MCP on GitHub Copilot AI Agent MCP Integration Redo MCP on Google Gemini AI MCP Integration Redo MCP on Lovable AI Development MCP Client Redo MCP on Mistral AI Agents MCP Compatible Redo MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Redo manages returns, exchanges, and shipping protection claims through your AI agent. It connects your e-commerce operations to a single protocol layer, letting you track requests, calculate rates, approve claims, and process refunds without touching a dashboard.

Stop switching tabs; manage the full post-purchase lifecycle in natural conversation.

What your AI agents can do

Add internal note

Adds a private comment or log entry to a specific return request record.

Approve return claim

Updates a claim's status, formally approving the customer's return request.

Get protection summary

Retrieves high-level details about current shipping protection coverage rules and settings.

+ 9 more capabilities included
Review Claim Status

List all pending returns and protection claims, checking their current status and associated customer metadata.

Update Return Lifecycle

Programmatically update a return's status (e.g., approved or rejected) directly from your agent conversation.

Finalize Financial Resolution

Trigger final actions like refunds, store credit creation, or exchange orders for damaged/lost packages.

Determine Coverage Scope

Access detailed information about shipping protection settings and which products are eligible for claims.

Calculate Shipping Costs

Retrieve real-time shipping rates required to estimate return costs for customers or internal accounting.

Log Internal Notes

Add private comments or communication logs to any specific return or claim record for team visibility.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Redo MCP Server: 12 Tools for E-commerce Operations

This collection of tools lets your AI client manage the entire post-purchase lifecycle—from initial claim listing to final resolution and refund processing.

add019d75fd

add internal note

Adds a private comment or log entry to a specific return request record.

approve019d75fd

approve return claim

Updates a claim's status, formally approving the customer's return request.

get019d75fd

get protection summary

Retrieves high-level details about current shipping protection coverage rules and settings.

get019d75fd

get return details

Pulls all specific metadata for a single return request, including item IDs and purchase dates.

get019d75fd

get return shipping rates

Calculates real-time shipping costs and options available for returning packages.

get019d75fd

get store details

Retrieves basic metadata about the specific store or seller associated with the return.

list019d75fd

list protected items

Lists all products that are currently covered under the shipping protection policy.

list019d75fd

list return webhooks

Shows a list of active webhooks, confirming which internal systems receive return notifications.

list019d75fd

list store returns

Retrieves a summary view of multiple returns and claims across the store.

process019d75fd

process final resolution

Finalizes a return or claim by executing definitive actions, like issuing refunds or creating exchanges.

reject019d75fd

reject return claim

Updates a claim's status, formally rejecting the customer's return request and providing a reason.

verify019d75fd

verify api connection

Runs a test to confirm that the MCP server is properly connected to the Redo API endpoint.

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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

You connect your Redo account to any AI agent using Model Context Protocol (MCP). This server gives your agent direct access to manage returns, exchanges, and shipping protection claims. You handle the entire post-purchase lifecycle—from initial request listing straight through refund processing—all in natural conversation without touching a dashboard. Stop switching tabs; you'll run the whole operation from one place.

Reviewing Claim Status
You can pull up a customer's full claim history immediately by calling list_store_returns or grabbing all specific metadata for one request with get_return_details. You'll also get basic info about the seller using get_store_details, and you'll see exactly what products are covered under policy when you use list_protected_items. To check how systems receive notifications, call list_return_webhooks to view active webhooks.

For a quick rundown of current shipping rules, run get_protection_summary. You can also get real-time cost estimates for returning packages by calling get_return_shipping_rates.

Updating the Return Lifecycle
The server lets you change a return's status directly through your agent conversation. If the customer is good to go, you call approve_return_claim; if they aren't, you reject it using reject_return_claim, providing a reason right away. You can log private comments or team notes on any record by calling add_internal_note.

Finalizing Financial Resolution
When the job is done, you finalize the action—like issuing refunds, creating store credit, or setting up an exchange for damaged goods—by running process_final_resolution. You'll want to run verify_api_connection first just to make sure your agent client can talk to the Redo API endpoint correctly.

Your AI agent uses these tools to manage returns. It doesn't just view data; it executes the operational workflow.

How Redo MCP Works

  1. 1 Subscribe to the Redo server via Vinkius Marketplace and provide your Store ID and API Secret.
  2. 2 Configure your AI client (Claude, Cursor, etc.) to recognize the MCP endpoints for Redo.
  3. 3 Instruct your agent: 'List all returns from John Doe.' The agent runs list_store_returns and presents actionable data.

The bottom line is you manage complex logistics workflows using simple chat prompts instead of navigating a suite of dashboards.

Who Is Redo MCP For?

The Tier 2 Support Specialist who spends too much time clicking through multiple dashboard tabs to find one piece of claim data. The E-commerce Operations Manager who needs an instant overview of all pending resolutions across different product lines. Or the Logistics Coordinator trying to calculate return shipping costs on the fly.

Tier 2 Support Specialist

Uses get_return_details and add_internal_note constantly. They check a customer's entire claim history, decide if it needs more info, and log notes without leaving the chat window.

E-commerce Operations Manager

Runs bulk status checks using list_store_returns. They need to see which claims are pending approval so they can batch process them or investigate outliers.

Logistics Coordinator

Relies on get_return_shipping_rates and list_protected_items to advise customers quickly. They calculate the precise cost before telling the customer what to expect.

What Changes When You Connect

  • Stop manual dashboard hopping. Instead of checking 5 different tabs to find a return's status, use list_store_returns directly in your conversation flow.
  • Speed up approvals. Your agent runs get_return_details, lets you review the metadata, and executes approve_return_claim—all without copy-pasting IDs or clicking buttons.
  • Accurate cost estimates on demand. Need to quote a return shipment? Call get_return_shipping_rates to get current costs instantly, making your customer advice accurate every time.
  • Automate the resolution step. Don't just track claims; use process_final_resolution to trigger refunds or credits immediately after approval, closing the loop completely.
  • Full visibility into policy. Use get_protection_summary and list_protected_items to answer 'Is this covered?' questions accurately and quickly, preventing payment disputes.

Real-World Use Cases

01

The Damaged Item Claim

A customer contacts support: 'My jacket arrived ripped.' Your agent first calls get_return_details to verify the purchase ID. Next, it uses get_protection_summary to confirm coverage. Finally, since it's damaged, the agent runs process_final_resolution to automatically generate a replacement order.

02

The Failed Return Attempt

A return request is submitted but lacks necessary documentation. Your agent calls get_return_details, sees the missing information, and uses reject_return_claim with a specific reason code. This prevents the customer from waiting for an invalid approval.

03

Checking Complex Shipping Needs

A manager needs to advise on return costs for different geographies. The agent calls get_return_shipping_rates, pulling multiple carrier options and cost breakdowns so the manager can quote the best option immediately in chat.

04

Auditing Past Claims

A quality assurance team needs to review all claims from a specific product line last month. They use list_store_returns to pull the batch data, then filter by status and add add_internal_note for follow-up.

The Tradeoffs

Ignoring Initial Verification

A user gets confused and immediately calls approve_return_claim without checking if the item was actually covered or if the refund has been processed. This causes incorrect status updates.

Always start by calling get_return_details to gather all metadata first. Then, call get_protection_summary before making any approval decisions.

Over-relying on the summary view

Reading a simple report from list_store_returns and assuming you know exactly why a claim is stuck. The list only shows status, not the root cause.

Always drill down. Use get_return_details for any record that looks suspicious or requires investigation before taking action.

Using generic language

Telling your agent 'Fix this return.' This is too vague and forces the AI to guess which tool, if any, needs calling.

Be precise. Tell it: 'Use process_final_resolution on ID X because the payment failed.'

When It Fits, When It Doesn't

Use this server when your returns process is high-volume and follows predictable decision paths (e.g., damaged = refund; lost = replacement). It's perfect for implementing a tiered workflow: 1) Triage (list_store_returns -> get_return_details). 2) Decision (approve_return_claim or reject_return_claim). 3) Action (process_final_resolution, add_internal_note).

Don't use this if your policies are constantly changing, requiring human legal interpretation not tied to a specific tool. If the issue requires cross-system data (like reconciling payment processor logs with Redo), you’ll need an additional integration layer outside of these tools.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Redo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

add_internal_note approve_return_claim get_protection_summary get_return_details get_return_shipping_rates get_store_details list_protected_items list_return_webhooks list_store_returns process_final_resolution reject_return_claim verify_api_connection

Tracking returns means clicking through three different dashboards and copying IDs.

Right now, handling a single customer return is a pain. You open the support dashboard to get the claim ID. Then you jump to the shipping tab to calculate rates, then finally move to the finance portal to see if it's eligible for credit. It takes five clicks and three different logins just to answer 'What's wrong with this order?'

With Redo MCP, your agent handles the whole sequence in chat. You ask, 'Check claim ABC.' The agent runs `get_return_details`, pulls rates via `get_return_shipping_rates`, and gives you a full status report—no tab switching necessary.

Redo MCP Server: Process final resolutions with one command.

Before, finalizing a claim meant multiple hands. Someone had to approve the request, someone else had to manually trigger the refund in the finance system, and a third person had to update the customer service ticket status. It was slow and prone to human error.

Now, your AI agent manages that handoff. After you confirm details using `get_return_details`, one prompt executes `process_final_resolution`, updating the claim, triggering the refund, and logging the action—all in sequence.

Common Questions About Redo MCP

How do I list all pending returns using Redo MCP Server? +

Use the list_store_returns tool. This function retrieves a summary view of multiple claims and returns, letting you see which ones need attention at a glance.

What is the difference between `approve_return_claim` and `process_final_resolution`? +

approve_return_claim only changes the status to 'Approved.' It’s the sign-off. You must then use process_final_resolution to actually trigger the money transfer or credit.

Can I calculate shipping costs for a return? Which tool do I use? +

Yes, you use get_return_shipping_rates. This function pulls real-time rates and multiple carrier options based on the return's origin.

How do I check if an item is covered for a claim? +

Call get_protection_summary to get high-level details about your coverage rules. For specific items, use list_protected_items to see the product list.

I need to add a note to a claim; which tool is correct? +

Use add_internal_note. This posts a private comment or log entry directly onto the specific return record, keeping the communication history tied to that single claim.

How do I verify that my Redo API credentials are correct using the `verify_api_connection` tool? +

It runs a simple check to confirm your connection status. This tool confirms if your Store ID and Secret key work with minimal calls, so you can catch authentication errors before running critical functions.

What does the `list_return_webhooks` tool help me monitor about my return system? +

This tool lists all active webhook configurations. You use it to confirm your internal systems are correctly set up to receive real-time notifications for returns or claims, ensuring no data gets missed.

If I need general background info on the store, which tool should I use: `get_store_details`? +

Use get_store_details to fetch high-level metadata about your Redo account. This gives you general business context without needing a specific return ID or claim number.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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