Frontegg MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Frontegg through 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: {
"frontegg": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Frontegg Agent",
instructions:
"You help users interact with Frontegg " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Frontegg?"
);
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 Frontegg MCP Server
Connect your Frontegg environment to any AI agent to automate your B2B SaaS identity management through the Model Context Protocol (MCP). Frontegg is a powerful user management and authentication platform designed specifically for modern SaaS applications. This MCP server enables you to manage multi-tenant architectures, provision new users, and audit security configurations directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Frontegg tool infrastructure. Connect 12 tools through 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.
Key Features
- Tenant Orchestration — List all customer accounts (tenants), retrieve their configuration details, and programmatically create or delete tenants.
- User Provisioning — Access your global user database, fetch detailed profiles across tenants, and instantly invite or remove users.
- Role & Permission Discovery — List all system roles and granular permissions to audit your security and access control models.
- M2M Token Management — Retrieve Machine-to-Machine tokens for specific tenants to simplify backend integrations.
- Real-time Synchronization — Keep your identity and access management operations accessible to your AI assistant without leaving your primary workspace.
- Secure Environment Access — Authenticate securely using Vendor Client ID and API Keys to perform administrative operations safely.
The Frontegg MCP Server exposes 12 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 Frontegg to Mastra AI via MCP
Follow these steps to integrate the Frontegg 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 12 tools from Frontegg via MCP
Why Use Mastra AI with the Frontegg MCP Server
Mastra AI provides unique advantages when paired with Frontegg through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Frontegg 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 Frontegg 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
Frontegg + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Frontegg MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Frontegg, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Frontegg as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Frontegg on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Frontegg tools alongside other MCP servers
Frontegg MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Frontegg to Mastra AI via MCP:
check_environment_status
Verify API connection
create_tenant
Create a new tenant
create_user
Provision a user
delete_tenant
Delete a tenant
delete_user
Remove a user
get_tenant_details
Get tenant metadata
get_user_details
Get user metadata
list_m2m_tokens
List machine tokens
list_permissions
List granular permissions
list_system_roles
g. Admin, Read-Only) available for assignment. List roles
list_tenants
List all tenants/accounts
list_users
List users globally
Example Prompts for Frontegg in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Frontegg immediately.
"List the first 10 tenants in our Frontegg environment."
"Find the user details for 'jane@example.com'."
"Create a new tenant named 'Stark Industries'."
Troubleshooting Frontegg MCP Server with Mastra AI
Common issues when connecting Frontegg to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFrontegg + Mastra AI FAQ
Common questions about integrating Frontegg 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?
Connect Frontegg with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 Frontegg to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.