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Memberful MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Member, Get Account Info, Get Member, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Memberful app connector for Pydantic AI 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 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 Memberful "
            "(12 tools)."
        ),
    )

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

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.

Pydantic AI validates every Memberful tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 & 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 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.

All 12 Memberful tools available for Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
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 with type-safe schemas

Why Use Pydantic AI with the Memberful MCP Server

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

01

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

02

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

03

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

04

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

Memberful + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Memberful in Pydantic AI

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

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Memberful + Pydantic AI FAQ

Common questions about integrating Memberful MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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