Use AfterShip Returns with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Process returns, manage labels, and audit inventory condition instantly.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete AfterShip Returns capability set.
These are the exact actions your AI can choose when you ask it to work with AfterShip Returns.
01-04
4 capabilities in this set.
Part of 4 available through AfterShip Returns.
- 01
Approve return
This allows the customer to ship the item back. Authorize a pending return request to immediately trigger generating the return shipping label
- 02
Get return details
Retrieve the granular items, return reasons, and current logistics status for a specific RMA
- 03
List returns
Retrieve pending or historical customer return requests and their processing statuses
- 04
Receive items
Record the arrival and physical grading condition of returned items arriving at the warehouse
Observed, not estimated
837ms average. Fast in production.
AfterShip Returns is checked daily against the live service.
- Fastest day
- 667ms
- Slowest day
- 1021ms
- 14-day trend
- Stable0%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AfterShip Returns, so you can see the experience inside your AI.
It does not authenticate your account with AfterShip Returns. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AfterShip Returns Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KWXeNqBZURHU1EI20GzY6XtweszlNSA1ZmHzCHng/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AfterShip Returns capabilities are ready to use.
{
"mcpServers": {
"aftership-returns-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KWXeNqBZURHU1EI20GzY6XtweszlNSA1ZmHzCHng/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work AfterShip Returns owners hand off.
This MCP is built for teams that manage high volumes of returned goods. If your operations involve processing items coming back from customers, this capability gives your staff the centralized control they need. It lets them move from manual data checks to conversational actions.
- 01
E-commerce Managers
Automate return approvals and monitor customer satisfaction trends using the MCP.
- 02
Warehouse Operations
Mark received items and audit grading results effortlessly after returns arrive at the facility.
- 03
Customer Support Teams
Quickly look up return statuses and provide tracking details to customers using the agent.
- 04
Logistics Specialists
Audit return shipping costs and confirm label generation success rates across all returns.
FAQ
Questions AfterShip Returns owners ask.
- 01
Does this MCP handle the whole return process?
Yes. It covers the full lifecycle, from listing pending requests and checking details to approving the return and even recording the item's condition when it arrives at your warehouse.
- 02
What kind of data can I get about a specific return?
You can retrieve granular details for any RMA. This includes item names, the specific return reason, and the current logistics status of the shipment.
- 03
Is this just for tracking labels?
No. While it generates labels, it also lets you mark items as received and grade their condition, which is critical for updating your internal inventory records.
- 04
Do I need to write code to use this?
No. You simply talk to your agent using natural language. The MCP translates your request into the necessary API calls behind the scenes.
- 05
What clients are compatible with this MCP?
This MCP works with any AI client that supports the Model Context Protocol, including Claude, Cursor, Windsurf, and VS Code.
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