How to Use the Logto (Auth Platform) MCP in CrewAI
Deploy specialized CrewAI agent teams to audit, provision, and secure your Logto identity configurations autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Logto (Auth Platform) MCP to CrewAI
Create your Vinkius account to connect Logto (Auth Platform) 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.
Autonomous Tenant Security Audits
Use `list_users` to allow your CrewAI security auditor agent to scan your entire identity directory. This agent collaborates with a compliance officer agent, passing data to check for inactive profiles. They coordinate sequentially to flag accounts that lack multi-factor authentication. The compliance agent calls `list_mfa_verifications` for flagged accounts to confirm their security posture. If an account is deemed a risk, the agent executes `update_user` to suspend access, writing a summary of the action to your team's shared logs without human intervention.
Multi-agent organization management via CrewAI
Use `create_organization` to let your onboarding agent build custom client environments autonomously. While this agent provisions the tenant, a secondary permissions agent executes `create_role` to configure matching access levels. They share context dynamically through CrewAI's memory layer. Once the baseline setup is complete, the onboarding agent runs `list_organization_users` to verify that the initial admin users are properly mapped. This division of labor prevents race conditions, ensuring roles are fully configured before users are assigned to their new organizations.
Self-Healing API Resource Security
Use `list_resources` to let your API gateway manager agent monitor configured scopes and resource servers. If the agent detects an unregistered API endpoint, it coordinates with the security agent to execute `create_resource` automatically. This maintains tight security boundaries across your distributed microservices. When roles change, the agents query `list_user_roles` and `list_roles` to update permissions across all active sessions. By using this MCP Server, your CrewAI team keeps your API security definitions perfectly synchronized with your actual system architecture.
Set up Logto (Auth Platform) 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 Logto (Auth Platform) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Logto (Auth Platform) Analyst",
goal="Access and analyze Logto (Auth Platform) data via MCP.",
backstory="Expert analyst with direct Logto (Auth Platform) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Logto (Auth Platform) 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="Logto (Auth Platform) Analyst",
goal="Access and analyze Logto (Auth Platform) data via MCP.",
backstory="Expert analyst with direct Logto (Auth Platform) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Logto (Auth Platform) 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 Logto. 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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Common questions about Logto (Auth Platform) MCP in CrewAI
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