SuperTokens MCP Server for Pydantic AIGive Pydantic AI instant access to 18 tools to Assign Role To User, Bulk Import Users, Create Or Update Role, and more

Name: SuperTokens
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The SuperTokens MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 SuperTokens "
            "(18 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in SuperTokens?"
    )
    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 SuperTokens MCP Server

Connect your SuperTokens Core instance to any AI agent to manage user lifecycles, session security, and Role-Based Access Control (RBAC) through natural language.

Pydantic AI validates every SuperTokens tool response against typed schemas, catching data inconsistencies at build time. Connect 18 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

User Management — Sign up new users, sign in existing ones, and retrieve detailed user profiles or link multiple accounts together.
Session Control — Create, refresh, and revoke sessions (JWT or database-backed) to maintain tight security over user access.
RBAC & Permissions — Create roles, define permissions, and assign them to users to manage authorization levels dynamically.
User Metadata — Store and update custom JSON metadata for users to track preferences or application-specific data.
Account Linking — Seamlessly link or unlink different recipe user IDs to a primary user identity.

The SuperTokens MCP Server exposes 18 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 SuperTokens tools available for Pydantic AI

When Pydantic AI connects to SuperTokens through Vinkius, your AI agent gets direct access to every tool listed below — spanning authentication, session-management, rbac, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

assign

Assign role to user on SuperTokens

Assign a role to a user

bulk

Bulk import users on SuperTokens

Bulk import users

create

Create or update role on SuperTokens

Create or update a user role

create

Create or update tenant on SuperTokens

Create or update a tenant

create

Create session on SuperTokens

Create a new session for a user

delete

Delete user metadata on SuperTokens

Delete metadata for a user

get

Get tenant on SuperTokens

Get tenant details

get

Get user on SuperTokens

Get user details by ID

get

Get user metadata on SuperTokens

Get metadata for a user

link

Link accounts on SuperTokens

Link two user accounts together

list

List roles on SuperTokens

List all roles

list

List user roles on SuperTokens

List roles assigned to a user

refresh

Refresh session on SuperTokens

Refresh an existing session

remove

Remove session on SuperTokens

Remove/revoke a session

signin

Signin user on SuperTokens

signup

Signup user on SuperTokens

unlink

Unlink accounts on SuperTokens

Unlink a user account

update

Update user metadata on SuperTokens

Update metadata for a user

Connect SuperTokens to Pydantic AI via MCP

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

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 18 tools from SuperTokens with type-safe schemas

Why Use Pydantic AI with the SuperTokens MCP Server

Pydantic AI provides unique advantages when paired with SuperTokens 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 SuperTokens integration code

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

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

SuperTokens + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for SuperTokens in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with SuperTokens immediately.

"Get details for user ID 'user-123'."

"Assign the 'editor' role to user 'user-456'."

"List all available roles in the system."

Troubleshooting SuperTokens MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

SuperTokens + Pydantic AI FAQ

Common questions about integrating SuperTokens 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 SuperTokens MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Explore More MCP Servers

View all →

Contentful

12 tools

Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.

Estimote

10 tools

Manage beacon fleets via Estimote — list and configure devices, track proximity analytics, monitor sensor telemetry, and manage physical locations directly from any AI agent.