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 Pydantic AI 12 tools — connect in under 2 minutes

Name: Redo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Redo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Redo "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Redo?"
    )
    print(result.data)

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.

Pydantic AI validates every Redo tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Redo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Redo with type-safe schemas

Why Use Pydantic AI with the Redo MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Redo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Redo connection logic from agent behavior for testable, maintainable code

Redo + Pydantic AI Use Cases

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

Type-safe data pipelines: query Redo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Redo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Redo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Redo responses and write comprehensive agent tests

Redo MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Redo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Redo + Pydantic AI FAQ

Common questions about integrating Redo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Redo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.