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 LangChain 8 tools — connect in under 2 minutes

Name: Clerk
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Clerk through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "clerk": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Clerk, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Clerk through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Clerk MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Clerk via MCP

Why Use LangChain with the Clerk MCP Server

LangChain provides unique advantages when paired with Clerk through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Clerk MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Clerk queries for multi-turn workflows

Clerk + LangChain Use Cases

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

RAG with live data: combine Clerk tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Clerk, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Clerk tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Clerk tool call, measure latency, and optimize your agent's performance

Clerk MCP Tools for LangChain (8)

These 8 tools become available when you connect Clerk to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clerk + LangChain FAQ

Common questions about integrating Clerk MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.