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Sellfy MCP Server for LangChainGive LangChain instant access to 12 tools to Create Product, Get Customer Details, Get Order Details, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LangChain

The Sellfy app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "sellfy": {
            "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 Sellfy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Sellfy
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 Sellfy MCP Server

Connect your Sellfy store to any AI agent and take full control of your e-commerce operations through natural conversation. Sellfy is the premier platform for creators to sell digital products, physical goods, and subscriptions, and this integration allows you to orchestrate your entire storefront without leaving your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Sellfy through native MCP adapters. Connect 12 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

  • Product & Catalog Orchestration — List all managed products and retrieve detailed pricing metadata, including creating new items programmatically.
  • Order Lifecycle Management — Access recent store transactions and retrieve detailed fulfillment metadata directly from the AI interface.
  • Customer CRM Control — Manage your store's customer base and retrieve profile metadata to ensure personalized engagement via natural language.
  • Subscription & Coupon Intelligence — Monitor recurring billing subscriptions and active discount codes to ensure your revenue streams are always optimized.
  • Operational Monitoring — Retrieve store metadata and monitor system usage using simple AI commands to ensure your business is always healthy.

The Sellfy MCP Server exposes 12 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.

All 12 Sellfy tools available for LangChain

When LangChain connects to Sellfy through Vinkius, your AI agent gets direct access to every tool listed below — spanning sellfy, ecommerce-api, digital-products, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_product

Requires a title and price. Create a new product

get_customer_details

Get details for a specific customer

get_order_details

Get details for a specific order

get_product_details

Get details for a specific product

get_store_information

Get high-level store details

get_subscription_details

Get details for a specific subscription

list_customers

List store customers

list_orders

List recent store orders

list_product_categories

List product categories

list_products

List all store products

list_store_coupons

List active discount coupons

list_subscriptions

List recurring subscriptions

Connect Sellfy to LangChain via MCP

Follow these steps to wire Sellfy into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from Sellfy via MCP

Why Use LangChain with the Sellfy MCP Server

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

01

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

02

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

03

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

04

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

Sellfy + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Sellfy in LangChain

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

01

"List all physical products in my Sellfy store."

02

"Show me the sales analytics for all digital products this month with revenue breakdown."

03

"Create a new digital product listing for a premium Figma design template at $49.99."

Troubleshooting Sellfy MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Sellfy + LangChain FAQ

Common questions about integrating Sellfy MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.