Atlassian Crowd MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Atlassian Crowd through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Atlassian Crowd Assistant",
instructions=(
"You help users interact with Atlassian Crowd. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Atlassian Crowd"
)
print(result.final_output)
asyncio.run(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 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 OpenAI Agents SDK auto-discovers all 10 tools from Atlassian Crowd through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Atlassian Crowd, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Atlassian Crowd MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Atlassian Crowd
Why Use OpenAI Agents SDK with the Atlassian Crowd MCP Server
OpenAI Agents SDK provides unique advantages when paired with Atlassian Crowd through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Atlassian Crowd + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Atlassian Crowd MCP Server delivers measurable value.
Automated workflows: build agents that query Atlassian Crowd, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Atlassian Crowd, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Atlassian Crowd tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Atlassian Crowd to resolve tickets, look up records, and update statuses without human intervention
Atlassian Crowd MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Atlassian Crowd to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Atlassian Crowd to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Atlassian Crowd + OpenAI Agents SDK FAQ
Common questions about integrating Atlassian Crowd MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Atlassian Crowd 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 Atlassian Crowd to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
