Bring User Authentication
to Pydantic AI
Create your Vinkius account to connect Memberstack to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Memberstack Secret Key
- Start managing your members from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (10)
Get application details
Get details for a specific member
Get plans for a specific member
Get details for a specific plan
List all discount coupons
List member custom fields
List all members
List all membership plans
List active promotions
Search members by email
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Memberstack integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Memberstack connection logic from agent behavior for testable, maintainable code
Memberstack in Pydantic AI
Why run Memberstack with Vinkius?
The Memberstack connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Memberstack using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Memberstack and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Memberstack to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Memberstack for Pydantic AI
Every request between Pydantic AI and Memberstack is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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