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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Atlassian Crowd
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Atlassian Crowd through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Atlassian Crowd "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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* 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.

Pydantic AI validates every Atlassian Crowd tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Atlassian Crowd MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Atlassian Crowd integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Atlassian Crowd connection logic from agent behavior for testable, maintainable code

Atlassian Crowd + Pydantic AI Use Cases

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

Type-safe data pipelines: query Atlassian Crowd with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Atlassian Crowd tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Atlassian Crowd and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Atlassian Crowd responses and write comprehensive agent tests

Atlassian Crowd MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Atlassian Crowd to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Atlassian Crowd + Pydantic AI FAQ

Common questions about integrating Atlassian Crowd MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Atlassian Crowd MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.