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Authing MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Authing through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Authing, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Authing
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Authing MCP Server

Empower your AI agent to orchestrate your entire identity infrastructure with Authing, the premier cloud-native IDaaS platform. By connecting Authing to your agent, you transform complex user management, organizational modeling, and security auditing into a natural conversation. Your agent can instantly list users, retrieve detailed profile metadata, browse organizational structures, and monitor security audit logs without you ever needing to navigate the comprehensive Authing console. Whether you are conducting a compliance audit or managing application access, your agent acts as a real-time identity assistant, keeping your user data accurate and your systems secure.

The Vercel AI SDK gives every Authing tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • User Orchestration — List and retrieve detailed information about users in your Authing user pool.
  • Organizational Management — Browse and monitor organizational units and hierarchies across your company.
  • Access Control Auditing — List roles, groups, and permission resources to identify authorization patterns.
  • Security Monitoring — Retrieve real-time security audit logs to monitor administrative and user actions.
  • System Configuration — Access high-level security settings and metadata for your identity projects.

The Authing MCP Server exposes 10 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 Authing to Vercel AI SDK via MCP

Follow these steps to integrate the Authing MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Authing and passes them to the LLM

Why Use Vercel AI SDK with the Authing MCP Server

Vercel AI SDK provides unique advantages when paired with Authing through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Authing integration everywhere

03

Built-in streaming UI primitives let you display Authing tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Authing + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Authing MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Authing in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Authing tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Authing capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Authing through natural language queries

Authing MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Authing to Vercel AI SDK via MCP:

01

create_user

Create a new user

02

get_audit_logs

Get security audit logs

03

get_security_settings

Get pool security settings

04

get_user

Get user details

05

list_applications

List registered applications

06

list_groups

List user groups

07

list_organizations

List organizations

08

list_resources

List permission resources

09

list_roles

List user roles

10

list_users

List application users

Example Prompts for Authing in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Authing immediately.

01

"List all users in our Authing pool."

02

"Show me the security audit logs from today."

03

"List all organizational units in the company."

Troubleshooting Authing MCP Server with Vercel AI SDK

Common issues when connecting Authing to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Authing + Vercel AI SDK FAQ

Common questions about integrating Authing MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Authing to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.