Frontegg MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Frontegg through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Frontegg, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Frontegg tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Frontegg MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Frontegg and passes them to the LLM
Why Use Vercel AI SDK with the Frontegg MCP Server
Vercel AI SDK provides unique advantages when paired with Frontegg through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Frontegg integration everywhere
Built-in streaming UI primitives let you display Frontegg tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Frontegg + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Frontegg MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Frontegg in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Frontegg tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Frontegg capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Frontegg through natural language queries
Frontegg MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Frontegg to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Frontegg to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFrontegg + Vercel AI SDK FAQ
Common questions about integrating Frontegg MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.