How do I register an application in Crowd?

Log in to the Crowd console as an administrator, navigate to **Applications**, and click **Add Application**. Follow the wizard to define the name and password used for this integration.

What permissions are required?

The application registered in Crowd must have the 'Allow to authenticate users' permission and be mapped to the directories you want the agent to manage.

Can the agent reset user passwords?

Currently, the integration supports creating users with an initial password. Direct password resets for existing users should be handled via the Crowd console or self-service portal.

Atlassian Crowd MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Atlassian Crowd
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Atlassian Crowd as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Atlassian Crowd. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Atlassian Crowd?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

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 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.

LlamaIndex agents combine Atlassian Crowd tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Atlassian Crowd MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Atlassian Crowd

Why Use LlamaIndex with the Atlassian Crowd MCP Server

LlamaIndex provides unique advantages when paired with Atlassian Crowd through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Atlassian Crowd tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Atlassian Crowd tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Atlassian Crowd, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Atlassian Crowd tools were called, what data was returned, and how it influenced the final answer

Atlassian Crowd + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Atlassian Crowd MCP Server delivers measurable value.

Hybrid search: combine Atlassian Crowd real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Atlassian Crowd to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Atlassian Crowd for fresh data

Analytical workflows: chain Atlassian Crowd queries with LlamaIndex's data connectors to build multi-source analytical reports

Atlassian Crowd MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Atlassian Crowd to LlamaIndex via MCP:

create_new_user

Provision a new user account in Crowd

get_group_details

Get details for a specific group

get_user_details

Get full profile and attributes for a specific user

list_active_users

List all active users managed in Crowd

list_all_groups

List all security and organizational groups

list_group_members

List all users who are members of a specific group

list_inactive_users

List all disabled or inactive user accounts

list_user_memberships

List all groups a specific user belongs to

search_users_by_attribute

Search for users using a CQL-like restriction string

search_users_by_name

Search for users whose name starts with a prefix

Example Prompts for Atlassian Crowd in LlamaIndex

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

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

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

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

Troubleshooting Atlassian Crowd MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Atlassian Crowd + LlamaIndex FAQ

Common questions about integrating Atlassian Crowd MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Atlassian Crowd tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.