Redo MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Redo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Redo, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Redo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Redo MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Redo and passes them to the LLM
Why Use Vercel AI SDK with the Redo MCP Server
Vercel AI SDK provides unique advantages when paired with Redo through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Redo integration everywhere
Built-in streaming UI primitives let you display Redo tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Redo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Redo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Redo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Redo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Redo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Redo through natural language queries
Redo MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Redo to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Redo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRedo + Vercel AI SDK FAQ
Common questions about integrating Redo MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.