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Keycloak MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 34 tools to Create Auth Flow, Create Client, Create Group, and more

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

Ask AI about this MCP Server for Vercel AI SDK

The Keycloak MCP Server for Vercel AI SDK is a standout in the Fort Knox category — giving your AI agent 34 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Keycloak
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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 Keycloak MCP Server

Connect your Keycloak instance to any AI agent to streamline your Identity and Access Management (IAM) workflows. This server provides comprehensive tools to audit, configure, and maintain your security infrastructure through natural language.

The Vercel AI SDK gives every Keycloak tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 34 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

  • Realm Administration — List, import, and export realms, or monitor admin events to audit changes across your infrastructure.
  • User Management — Create, update, or delete users, reset passwords, and inspect user group memberships without leaving your chat interface.
  • Client Configuration — Manage OIDC/SAML clients, retrieve client secrets, and regenerate credentials instantly.
  • Groups & Roles — Organize your security hierarchy by managing groups and assigning roles at both realm and client levels.
  • Session Control — Force global logouts across entire realms to mitigate security threats in real-time.

The Keycloak MCP Server exposes 34 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 34 Keycloak tools available for Vercel AI SDK

When Vercel AI SDK connects to Keycloak through Vinkius, your AI agent gets direct access to every tool listed below — spanning iam, authentication, authorization, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create auth flow on Keycloak

Create an authentication flow

create

Create client on Keycloak

Create a new client

create

Create group on Keycloak

Create a top-level group

create

Create role on Keycloak

Create a realm-level role

create

Create user on Keycloak

Create a new user

delete

Delete client on Keycloak

Delete a client

delete

Delete group on Keycloak

Delete a group

delete

Delete realm on Keycloak

Delete a realm

delete

Delete user on Keycloak

Delete a user

get

Get client on Keycloak

Get client representation

get

Get client secret on Keycloak

Get client secret

get

Get group on Keycloak

Get group representation

get

Get realm on Keycloak

Get realm representation

get

Get role on Keycloak

Get a role by name

get

Get user on Keycloak

Get user representation

import

Import realm on Keycloak

Import a realm

list

List admin events on Keycloak

Get admin events for a realm

list

List auth flows on Keycloak

Get authentication flows

list

List client roles on Keycloak

Get client-level roles

list

List clients on Keycloak

Get all clients in the realm

list

List groups on Keycloak

Get group hierarchy

list

List realms on Keycloak

Get accessible realms

list

List required actions on Keycloak

Get required actions

list

List roles on Keycloak

Get realm-level roles

list

List user groups on Keycloak

Get user groups

list

List users on Keycloak

Get users in a realm

logout

Logout all users on Keycloak

Remove all user sessions in a realm

partial

Partial export realm on Keycloak

Partial export of a realm

regenerate

Regenerate client secret on Keycloak

Regenerate client secret

reset

Reset user password on Keycloak

Reset user password

update

Update client on Keycloak

Update a client

update

Update group on Keycloak

Update a group

update

Update realm on Keycloak

Update realm information

update

Update user on Keycloak

Update a user

Connect Keycloak to Vercel AI SDK via MCP

Follow these steps to wire Keycloak into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 34 tools from Keycloak and passes them to the LLM

Why Use Vercel AI SDK with the Keycloak MCP Server

Vercel AI SDK provides unique advantages when paired with Keycloak 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 Keycloak integration everywhere

03

Built-in streaming UI primitives let you display Keycloak 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

Keycloak + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Keycloak in Vercel AI SDK

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

01

"List all realms available in our Keycloak instance."

02

"Get the details for user ID '550e8400-e29b' in the 'production-apps' realm."

03

"Create a new group called 'Engineering-Leads' in the 'master' realm."

Troubleshooting Keycloak MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Keycloak + Vercel AI SDK FAQ

Common questions about integrating Keycloak 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.

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