Vinkius
Loop

Loop MCP. Track returns, analyze sentiment, and manage feedback loops.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

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

Just plug in your AI agents and start using Vinkius.

Loop manages e-commerce operations by letting your AI agent handle complex customer interactions. It connects to your feedback loop and order history to process returns, analyze sentiment, and track product issues using natural conversation.

What your AI agents can do

Add internal note

Attaches a private note to a specific piece of customer feedback for internal team reference.

Get feedback details

Retrieves all available data points—text, source, and metadata—for one particular feedback item.

Get me

Pulls basic account information to confirm the user context for operations.

+ 7 more capabilities included
Analyze customer feedback sentiment

Get overall sentiment analytics from collected feedback to gauge product perception.

List and filter customer submissions

Retrieve lists of all customer feedback items, allowing you to see the source or theme of each submission.

Track specific developer tickets

Fetch detailed information on specific development tickets related to product issues.

Monitor return and refund status

Access the current state of returns, including pending refunds, approved exchanges, and associated amounts.

Manage internal notes on records

Attach private, actionable notes to specific feedback items for team visibility.

Supported MCP Clients

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ other MCP clients
Free for Subscribers

Waiting for input…

AI Agent

Loop MCP Server: 10 Tools for E-commerce Ops

These tools let your agent pull everything from customer conversations to refund status, turning raw data into actionable insights.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Loop on Vinkius
add019dd11a

add internal note

Attaches a private note to a specific piece of customer feedback for internal team reference.

get019dd11a

get feedback details

Retrieves all available data points—text, source, and metadata—for one particular feedback item.

get019dd11a

get me

Pulls basic account information to confirm the user context for operations.

get019dd11a

get sentiment metrics

Calculates and retrieves overall sentiment analytics (NPS, CSAT scores) from the feedback data pool.

get019dd11a

get ticket details

Fetches all context—including status, owner, and history—for a developer-assigned ticket.

list019dd11a

list dev tickets

Lists all currently open or closed developer tickets generated from feedback data.

list019dd11a

list feedback

Retrieves a list of customer feedback items, allowing filtering by date range or source.

list019dd11a

list feedback sources

Shows every integrated channel—like chat widgets or surveys—that feeds data into the system.

list019dd11a

list feedback themes

Lists recurring themes identified in feedback, helping group complaints by topic (e.g., 'sizing issues').

list019dd11a

list projects

Retrieves a list of active projects within the Loop system for context.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

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

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Loop, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,800+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Loop MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loop. 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.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Sifting through endless spreadsheets of 'Customer Pain Points' is a total waste of time.

Today, if you want to know why Product X keeps getting returned, you have to juggle three tools: the CRM for initial complaints, the Inventory dashboard for return codes, and then manually copy-pasting everything into a Google Sheet. You spend hours just aggregating data points instead of fixing problems.

With this MCP server, your agent pulls all that together conversationally. You ask about Product X, and it runs `list_feedback` and cross-references the results with return history. You get one clean summary: 'The main issue is sizing (39% rate), which correlates to a $450 refund average.'

Loop MCP Server: Use `get_sentiment_metrics` to quantify customer feeling.

Without this server, calculating your Net Promoter Score (NPS) or Customer Satisfaction (CSAT) means exporting data and running a separate calculation in Excel. It’s slow, prone to formula errors, and always behind the curve of real-time feedback.

Now, you just ask for sentiment metrics. The agent runs `get_sentiment_metrics` instantly and gives you the score right away. You get real-time operational intelligence, not yesterday's spreadsheet.

What you can do with this MCP connector

You connect Loop to your AI client and manage every corner of your e-commerce lifecycle—from initial customer feedback through product returns and refunds. Your agent uses these tools so you don't gotta jump between dashboards just to figure out what went wrong or how much money is owed. It pulls actionable data, analyzes sentiment, tracks specific product issues, and lets you document findings right inside the conversation.

Customer Feedback Analysis

You can pull a list of all customer submissions using list_feedback, letting you filter those records by date range or even by where they came from. To see every channel that feeds data into the system—like chat widgets or survey forms—you run list_feedback_sources. You'll find recurring complaints and topics instantly when you use list_feedback_themes, which groups feedback submissions by common issues, for instance, 'sizing issues' or 'missing parts.' Need to know what people think overall? Running get_sentiment_metrics gives you the high-level numbers, like NPS and CSAT scores.

When you need the full story on a single piece of input, get_feedback_details retrieves all available data points for that item—the text, its original source, and all associated metadata.

Issue Tracking & Project Management

When things break, your agent handles it. You can pull a list of every open or closed developer ticket generated from feedback using list_dev_tickets. If you need the complete context for one specific bug report, get_ticket_details fetches everything—the status, who owns the ticket, and its entire history. To keep your operations organized, you'll also find list_projects, which retrieves a list of active projects within the Loop system, giving you scope context when dealing with a particular issue.

Operational Documentation & Context

When an agent identifies something critical during a review, it can attach private notes directly to that feedback record using add_internal_note. This keeps your team visible on key records for follow-up. For basic account verification or context checks, get_me pulls essential user information. You'll also find the ability to list all active projects within the Loop system via list_projects, which helps keep you grounded in the current scope of work.

Running Returns and Refunds

Your agent tracks return requests by status or reason code, handling the entire process from initial report through final resolution. It monitors your refund flow, letting you track all refunds, checking both the amount claimed and the current processing status for every single claim. When an exchange is needed, it even manages new order creation to make sure the replacement gets processed correctly.

Built · Hosted · Managed by Vinkius Loop MCP Server - Track Returns & Analyze Feedback Server ID 019dd11a-ac5b-73cc-8e20-83b1a282c027
Vinkius Inspector
Compliance Grade A+
Score 98.33/100
Vinkius Inspector Badge — Score 98.33/100

Common Questions About Loop MCP

How do I use list_feedback to find issues by theme? +

You should run list_feedback first to see available data. Then, you can follow up with the agent asking it to cross-reference those results against list_feedback_themes. This lets you narrow down complaints that share a topic.

What is the difference between list_dev_tickets and get_ticket_details? +

list_dev_tickets shows you an overview—it lists all tickets. get_ticket_details requires a specific ticket ID, giving you the full history and context for just that one issue.

Can I track returns using get_feedback_details? +

Yes. While get_feedback_details retrieves feedback data, the server's core functionality allows it to cross-reference this complaint with refund history and return status, giving you a complete view.

How do I get overall sentiment metrics using get_sentiment_metrics? +

You simply prompt your agent to run get_sentiment_metrics. It calculates the NPS and CSAT scores across all available feedback data points for you instantly.

What information does using `get_me` require for authentication? +

It requires your API Key and associated account credentials. This tool validates your connection, confirming which user profile is running the agent's actions.

How do I use `list_feedback_sources` to check where feedback is coming from? +

It lists all integrated channels that contribute data to Loop. If you see missing feedback, checking this list helps confirm if a source (like an app or specific website page) is properly connected.

When should I use `add_internal_note` instead of updating the record? +

Use it when your team needs to track context without changing the customer-facing data. Internal notes are for private discussions, follow-up assignments, or adding background details visible only to administrators.

How does `list_projects` help me segment my return and feedback data? +

It groups your operational data under specific project identifiers. This lets you run targeted reports that analyze performance, sentiment, or returns for a single initiative, like 'Q3 Website Redesign.'

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.

Can I analyze return trends and reasons? +

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

What API does Loop use? +

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

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Loop. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.