How do I find my Memberstack Secret Key?

Log in to Memberstack, go to Settings > API Keys, and you can generate or copy your Secret Key from there.

Can I search for members by email?

Yes! Use the `search_members` tool and provide the email address to find a specific member record.

Is my member data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Memberstack MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Memberstack
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Memberstack through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Memberstack "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Memberstack?"
    )
    print(result.data)

asyncio.run(main())

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 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.

Pydantic AI validates every Memberstack tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Memberstack MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Memberstack MCP Server

Pydantic AI provides unique advantages when paired with Memberstack through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Memberstack integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Memberstack connection logic from agent behavior for testable, maintainable code

Memberstack + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Memberstack MCP Server delivers measurable value.

Type-safe data pipelines: query Memberstack with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Memberstack tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Memberstack and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Memberstack responses and write comprehensive agent tests

Memberstack MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Memberstack to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Memberstack to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Memberstack + Pydantic AI FAQ

Common questions about integrating Memberstack MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Memberstack MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.