Can I see how many users are currently logged in?

Yes! Use the `list_active_sessions` tool. The agent will return a list of all current sessions, allowing you to gauge real-time platform activity.

How do I check if a specific user belongs to an organization?

Use the `list_clerk_organizations` tool to find the organization and then review its members, or use `get_user_auth_details` to see the user's specific organization memberships.

Where do I find my Clerk Secret Key?

Log in to your Clerk Dashboard, select your application, and navigate to **API Keys**. You can find your Secret Key starting with `sk_` there.

Clerk MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Clerk
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clerk through the 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 Clerk "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Clerk MCP Server

Connect your Clerk account to any AI agent and take full control of your authentication and user management through natural conversation. Streamline how you monitor your user base and B2B organizations natively.

Pydantic AI validates every Clerk tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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 Oversight — List and retrieve details for all users in your application, including metadata and status natively
Session Intelligence — Access and monitor all active user sessions across your platforms flawlessly
Organization Logistics — List and manage B2B organizations and their member rosters securely
Invitation Tracking — Access and review all pending and completed user invitations flawlessly
Allowlist Management — List identifiers like emails and domains on your authentication allowlist flawlessly
Dashboard Visibility — Retrieve a high-level summary of user counts and system health directly within your workspace

The Clerk MCP Server exposes 8 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 Clerk to Pydantic AI via MCP

Follow these steps to integrate the Clerk 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 8 tools from Clerk with type-safe schemas

Why Use Pydantic AI with the Clerk MCP Server

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

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

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

Clerk + Pydantic AI Use Cases

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

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

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

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

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

Clerk MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Clerk to Pydantic AI via MCP:

get_auth_dashboard_summary

Retrieve a summary of user counts and system health

get_user_auth_details

Get detailed information for a specific user

list_active_sessions

List all active user sessions

list_auth_allowlist

List identifiers (emails, domains) on the authentication allowlist

list_clerk_clients

List all tracking clients (browser/device instances)

list_clerk_organizations

List all organizations (B2B) in the application

list_clerk_users

List all users in your Clerk application

list_sent_invitations

List all pending and completed user invitations

Example Prompts for Clerk in Pydantic AI

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

"List all my users in Clerk."

"Show me the dashboard summary for my auth system."

"Check the status of invitation ID 'inv_12345'."

Troubleshooting Clerk MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Clerk + Pydantic AI FAQ

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