How to Use the Auth0 MCP in CrewAI
Deploy a coordinated crew of specialized agents to monitor, audit, and secure your Auth0 tenants using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Auth0 MCP to CrewAI
Create your Vinkius account to connect Auth0 to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Audit directory settings with CrewAI
The `list_users` tool lets your directory auditor agent pull active profiles to check for stale accounts or unauthorized access. A moderator agent can then step in to flag anomalies for manual review or automated cleanup. When an anomaly is found, `get_user` gets the full JSON profile, including user metadata and linked identities. This MCP Server allows your specialized agents to collaborate, passing user data between roles to check compliance.
Check identity connections using this MCP Server
The `list_connections` tool scans your active social, database, and enterprise IdP setups to check login pathways. Your security agent uses this information to ensure that corporate accounts are routed through the correct LDAP or AD bridges. To audit individual app settings, `list_clients` pulls global configurations to check grant types and allowed web origins. CrewAI agents work in parallel, matching client settings against connection requirements to find security gaps.
Verify RBAC roles and pipeline actions with CrewAI
The `list_roles` tool gets the RBAC definitions configured inside your Auth0 core engine. Your policy agent analyzes these roles to ensure that JWT permission tokens are decoupled from standard authentication scopes. For dynamic pipeline checks, `list_actions` lists the serverless Javascript executing during login flows. Your compliance crew checks these actions to confirm that active MFA rules and external CRM syncs are working as intended.
Set up Auth0 MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Auth0 tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Auth0 Analyst",
goal="Access and analyze Auth0 data via MCP.",
backstory="Expert analyst with direct Auth0 access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Auth0 transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Auth0 Analyst",
goal="Access and analyze Auth0 data via MCP.",
backstory="Expert analyst with direct Auth0 access.",
tools=mcp_tools,
)
task = Task(
description="List recent Auth0 transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Auth0. 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.
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60%
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Common questions about Auth0 MCP in CrewAI
Use it with your favorite AI tools
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