3,400+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Memberful as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Memberful app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Memberful. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Memberful?"
    )
    print(response)

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.

LlamaIndex agents combine Memberful tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Memberful

Why Use LlamaIndex with the Memberful MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Memberful tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Memberful tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Memberful, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Memberful tools were called, what data was returned, and how it influenced the final answer

Memberful + LlamaIndex Use Cases

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

01

Hybrid search: combine Memberful real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Memberful to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Memberful for fresh data

04

Analytical workflows: chain Memberful queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Memberful in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Memberful + LlamaIndex FAQ

Common questions about integrating Memberful MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Memberful tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.