Memberstack MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Memberstack 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Memberstack. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Memberstack?"
)
print(response)
asyncio.run(main())
* 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 Memberstack MCP Server
Connect your Memberstack account to any AI agent and take full control of your member management and authentication workflows through natural conversation.
LlamaIndex agents combine Memberstack tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Administration — List all members, search by email, and fetch detailed metadata including plan connections
- Plan Management — Enumerate membership plans and retrieve detailed configurations for free and paid offerings
- Custom Data Handling — List and manage custom fields defined for your members
- Promotion & Offers — Access and monitor active coupons and marketing promotions
- App Visibility — Retrieve high-level information about your current Memberstack application configuration
The Memberstack MCP Server exposes 10 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.
How to Connect Memberstack to LlamaIndex via MCP
Follow these steps to integrate the Memberstack MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Memberstack
Why Use LlamaIndex with the Memberstack MCP Server
LlamaIndex provides unique advantages when paired with Memberstack through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Memberstack tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Memberstack tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Memberstack, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Memberstack tools were called, what data was returned, and how it influenced the final answer
Memberstack + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Memberstack MCP Server delivers measurable value.
Hybrid search: combine Memberstack real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Memberstack to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Memberstack for fresh data
Analytical workflows: chain Memberstack queries with LlamaIndex's data connectors to build multi-source analytical reports
Memberstack MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Memberstack to LlamaIndex via MCP:
get_application_info
Get application details
get_member
Get details for a specific member
get_member_plans
Get plans for a specific member
get_plan
Get details for a specific plan
list_coupons
List all discount coupons
list_custom_fields
List member custom fields
list_members
List all members
list_plans
List all membership plans
list_promotions
List active promotions
search_members
Search members by email
Example Prompts for Memberstack in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Memberstack immediately.
"List the last 5 members who joined."
"Show details for member ID 'mem_12345'."
"What are my available membership plans?"
Troubleshooting Memberstack MCP Server with LlamaIndex
Common issues when connecting Memberstack to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMemberstack + LlamaIndex FAQ
Common questions about integrating Memberstack MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Memberstack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Memberstack to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.