Where can I find my Loop API Token?

Go to your Loop Admin Portal, navigate to Settings > Manage API tokens, and generate a new token with Admin scopes.

Does this work with headless Shopify stores?

Yes, this server uses the Admin API, which manages the subscription data regardless of the storefront implementation.

Can I resume a subscription that was cancelled?

Generally, only 'Paused' subscriptions can be resumed. Cancelled subscriptions might need to be recreated depending on your Loop configuration.

Loop Subscriptions MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Loop Subscriptions
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Loop Subscriptions through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "loop-subscriptions": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Loop Subscriptions, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Loop Subscriptions MCP Server

Empower your AI agents to handle Loop Subscriptions directly. This server allows you to monitor and manage recurring revenue, customer profiles, and subscription lifecycles on Shopify.

LangChain's ecosystem of 500+ components combines seamlessly with Loop Subscriptions through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Subscription Control — List, inspect, pause, resume, or cancel subscriptions instantly
Order Orchestration — Monitor upcoming orders and skip next deliveries when requested by customers
Customer Management — Access detailed profiles and subscription history for your users
Operational Visibility — Track the status and health of your recurring business through simple natural language commands

The Loop Subscriptions MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain 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 Loop Subscriptions to LangChain via MCP

Follow these steps to integrate the Loop Subscriptions MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Loop Subscriptions via MCP

Why Use LangChain with the Loop Subscriptions MCP Server

LangChain provides unique advantages when paired with Loop Subscriptions through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Loop Subscriptions MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Loop Subscriptions queries for multi-turn workflows

Loop Subscriptions + LangChain Use Cases

Practical scenarios where LangChain combined with the Loop Subscriptions MCP Server delivers measurable value.

RAG with live data: combine Loop Subscriptions tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Loop Subscriptions, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Loop Subscriptions tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Loop Subscriptions tool call, measure latency, and optimize your agent's performance

Loop Subscriptions MCP Tools for LangChain (9)

These 9 tools become available when you connect Loop Subscriptions to LangChain via MCP:

cancel_subscription

Optional reason can be provided. Cancel a subscription

get_customer

Get customer details

get_subscription

Get detailed info for a single subscription

list_customers

List all customers with active or past subscriptions

list_orders

List subscription orders

list_subscriptions

List all Loop Subscriptions

pause_subscription

You can optionally provide a resume date. Pause an active subscription

resume_subscription

Resume a paused subscription

skip_next_order

Skip the next scheduled order

Example Prompts for Loop Subscriptions in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Loop Subscriptions immediately.

"List my active subscriptions."

"Pause subscription #12345 until 2026-12-01."

"Skip the next delivery for customer 'John Doe'."

Troubleshooting Loop Subscriptions MCP Server with LangChain

Common issues when connecting Loop Subscriptions to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Loop Subscriptions + LangChain FAQ

Common questions about integrating Loop Subscriptions MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.