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

main();
Atlassian Crowd
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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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 Atlassian Crowd MCP Server

Integrate Atlassian Crowd, the single sign-on and identity management application, directly into your AI workflow. Manage your corporate user directories, audit group memberships, and provision new accounts using natural language.

The Vercel AI SDK gives every Atlassian Crowd 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 Management — List, search, and retrieve detailed profiles for active and inactive users.
  • Group Control — Monitor security groups and manage organizational memberships seamlessly.
  • Account Provisioning — Create new user accounts with full attribute definitions via chat.
  • Identity Auditing — Search for users by attributes and verify directory-wide security restrictions.

The Atlassian Crowd 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 Atlassian Crowd to Vercel AI SDK via MCP

Follow these steps to integrate the Atlassian Crowd 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 Atlassian Crowd and passes them to the LLM

Why Use Vercel AI SDK with the Atlassian Crowd MCP Server

Vercel AI SDK provides unique advantages when paired with Atlassian Crowd 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 Atlassian Crowd integration everywhere

03

Built-in streaming UI primitives let you display Atlassian Crowd 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

Atlassian Crowd + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Atlassian Crowd MCP Tools for Vercel AI SDK (10)

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

01

create_new_user

Provision a new user account in Crowd

02

get_group_details

Get details for a specific group

03

get_user_details

Get full profile and attributes for a specific user

04

list_active_users

List all active users managed in Crowd

05

list_all_groups

List all security and organizational groups

06

list_group_members

List all users who are members of a specific group

07

list_inactive_users

List all disabled or inactive user accounts

08

list_user_memberships

List all groups a specific user belongs to

09

search_users_by_attribute

Search for users using a CQL-like restriction string

10

search_users_by_name

Search for users whose name starts with a prefix

Example Prompts for Atlassian Crowd in Vercel AI SDK

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

01

"List all active users in the 'Internal Staff' directory."

02

"Which groups does user 'jsmith' belong to?"

03

"Search for users with an email address ending in '@vinkius.com'."

Troubleshooting Atlassian Crowd MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Atlassian Crowd + Vercel AI SDK FAQ

Common questions about integrating Atlassian Crowd 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 Atlassian Crowd to Vercel AI SDK

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