Clerk MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Clerk through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"clerk": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Clerk Agent",
instructions:
"You help users interact with Clerk " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Clerk?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Clerk tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Clerk MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Clerk via MCP
Why Use Mastra AI with the Clerk MCP Server
Mastra AI provides unique advantages when paired with Clerk through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Clerk without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Clerk tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Clerk + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Clerk MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Clerk, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Clerk as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Clerk on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Clerk tools alongside other MCP servers
Clerk MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Clerk to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Clerk to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClerk + Mastra AI FAQ
Common questions about integrating Clerk MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clerk to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.