How to Use the Atlassian Crowd MCP in AutoGen
Let AutoGen agents debate and coordinate user provisioning across your Atlassian Crowd directories.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Atlassian Crowd MCP to AutoGen
Create your Vinkius account to connect Atlassian Crowd to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Consensus-Driven User Creation in AutoGen
Prevent accidental account creation by forcing agents to coordinate. A security agent can check directory policies while an admin agent runs `create_new_user`, ensuring no account is provisioned without multi-agent agreement. The agents debate the request before acting. They use `search_users_by_name` to verify the account doesn't already exist, avoiding duplicate entries in your Crowd directory.
Automated Directory Audits via Agent Conversations
Let your agents audit access levels through structured debate. One agent pulls inactive accounts using `list_inactive_users`, while another checks their active memberships using `list_user_memberships` to flag anomalies. Instead of a single script making assumptions, the agents discuss whether a user should be removed from a group. They use `get_group_details` to verify group policies before proposing any changes.
Context-Aware Group Assignments
Make sure users are placed in the right groups based on their actual profiles. Your AutoGen agents use `get_user_details` to read user attributes and negotiate which security groups the user belongs in. Once the agents agree on the correct group, they can verify current memberships with `list_group_members`. This multi-agent verification prevents unauthorized access changes in your corporate directory.
Set up Atlassian Crowd MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Atlassian Crowd tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Atlassian Crowd_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Atlassian Crowd data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Atlassian Crowd_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Atlassian Crowd data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Atlassian Crowd. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Atlassian Crowd MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Atlassian Crowd MCP today
We host it, we monitor it, we maintain it. You just paste one token.