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Memberful MCP Server for LangChainGive LangChain instant access to 12 tools to Create Member, Get Account Info, Get Member, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Memberful 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 Memberful 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({
        "memberful": {
            "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 Memberful, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

Connect your Memberful account to any AI agent and take full control of your membership site orchestration and subscription efficiency through natural conversation. Memberful provides a powerful GraphQL platform for managing gated content and recurring revenue, and this integration allows you to retrieve member metadata, monitor active subscriptions, and oversee sales orders directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Memberful 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

  • Member & Profile Orchestration — List all managed members and retrieve detailed profile metadata programmatically to ensure your audience database is always synchronized.
  • Subscription Lifecycle Management — Access and monitor active subscriptions, expiration dates, and assigned plans directly from the AI interface to track recurring revenue health.
  • Order & Financial Intelligence — List and oversee recent sales orders and retrieve detailed transaction metadata via natural language to maintain a clear overview of organizational liquidity.
  • Plan & Discount Control — Retrieve master data for membership plans and available discounts using simple AI commands to facilitate better promotional alignment.
  • Operational Monitoring — Track system responses and manage webhook metadata to ensure your automation workflows are always optimized.

The Memberful 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 Memberful tools available for LangChain

When LangChain connects to Memberful through Vinkius, your AI agent gets direct access to every tool listed below — spanning membership-management, recurring-revenue, gated-content, 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_member

Create a new member

get_account_info

Get site info

get_member

Get member details

get_order

Get order details

list_coupons

List active coupons

list_discounts

List member discounts

list_downloads

List member downloads

list_members

List all members

list_orders

List recent orders

list_plans

List subscription plans

list_subscriptions

List all subscriptions

list_webhooks

List configured webhooks

Connect Memberful to LangChain via MCP

Follow these steps to wire Memberful 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 Memberful via MCP

Why Use LangChain with the Memberful MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Memberful 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 Memberful queries for multi-turn workflows

Memberful + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Memberful in LangChain

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

01

"List all active membership plans in Memberful."

02

"Show the last 5 orders in my Memberful site."

03

"Get details for member ID '12345'."

Troubleshooting Memberful MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Memberful + LangChain FAQ

Common questions about integrating Memberful 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.