3,400+ MCP servers ready to use
Vinkius

Bring Returns Management
to Vercel AI SDK

Learn how to connect Loop to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Add Internal NoteGet Feedback DetailsGet MeGet Sentiment MetricsGet Ticket DetailsList Dev TicketsList FeedbackList Feedback SourcesList Feedback ThemesList Projects

What is the Loop MCP Server?

Connect your Loop account to any AI agent and manage returns through natural conversation.

What you can do

  • Return Tracking — Browse return requests with status and reason codes
  • Exchange Management — Track product exchanges and new order creation
  • Refund History — Monitor refunds with amounts and processing status
  • Return Analytics — Access return rates, top reasons, and trend data
  • Customer Returns — View return history per customer

How it works

1. Subscribe to this server
2. Enter your Loop API Key
3. Start managing returns from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • E-commerce Teams — manage returns and reduce churn
  • Customer Support — process returns and exchanges efficiently
  • Operations — analyze return trends and optimize logistics

Built-in capabilities (10)

add_internal_note

Add an internal note to a feedback item

get_feedback_details

Get details of a specific feedback item

get_me

Get account information

get_sentiment_metrics

Get overall sentiment analytics

get_ticket_details

Get details of a developer ticket

list_dev_tickets

List AI-generated developer tickets

list_feedback

List customer feedback items in Loop

list_feedback_sources

) providing feedback. List integrated feedback sources

list_feedback_themes

List recurring feedback themes

list_projects

List projects in Loop

Why Vercel AI SDK?

The Vercel AI SDK gives every Loop tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • 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 Loop integration everywhere

  • Built-in streaming UI primitives let you display Loop 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

See it in action

Loop in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Loop and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Loop to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Loop in Vercel AI SDK

The Loop 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Loop
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

The Vinkius Advantage

How Vinkius secures Loop for Vercel AI SDK

Every tool call from Vercel AI SDK to the Loop MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I track return requests and process exchanges?

Yes. Browse all return requests with status, reason codes, and product details. Track exchanges and new order fulfillment.

02

Can I analyze return trends and reasons?

Yes. Access return rates, top return reasons, product-level return analytics, and trend data over time.

03

What API does Loop use?

Bearer authentication against loop.solve-studio.co/api/v1.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp