How to Use the Keycloak MCP in CrewAI
Run collaborative CrewAI agent teams to monitor Keycloak logs, manage user groups, and automate security operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Keycloak MCP to CrewAI
Create your Vinkius account to connect Keycloak 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.
Multi-agent security monitoring and response
Stop relying on one script to manage Keycloak security in your CrewAI setup. With CrewAI, you can use this MCP Server to set up a monitoring agent that scans `list_admin_events` and a security agent that responds to anomalies by calling `logout_all_users` instantly. These specialized CrewAI agents share memory and collaborate on Keycloak threats. If the CrewAI monitor agent spots a suspicious pattern, it passes the context to the responder, who can restrict Keycloak access by running `update_user` to disable the account.
Autonomous client audits and cleanup
Unused Keycloak clients are a massive security risk for CrewAI deployments, but this MCP Server makes cleanup simple. Your CrewAI auditor agent can run `list_clients` to gather all active client configurations, while a moderator agent evaluates their usage and flags stale entries. Once identified, the CrewAI team can coordinate to run `delete_client` on expired Keycloak test environments. This keeps your production Keycloak environment clean without CrewAI security teams spending hours auditing lists manually.
Automated role and group provisioning teams
Setting up complex Keycloak organizational structures with CrewAI requires intense coordination. A CrewAI planning agent can outline the Keycloak hierarchy, while a provisioning agent executes `create_group` and `create_role` to build the setup. They verify their own work by calling `list_user_groups` to ensure users are placed in the correct Keycloak security boundaries. The entire CrewAI process runs autonomously, matching your actual company structure in Keycloak.
Set up Keycloak 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 Keycloak tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Keycloak Analyst",
goal="Access and analyze Keycloak data via MCP.",
backstory="Expert analyst with direct Keycloak access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Keycloak 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="Keycloak Analyst",
goal="Access and analyze Keycloak data via MCP.",
backstory="Expert analyst with direct Keycloak access.",
tools=mcp_tools,
)
task = Task(
description="List recent Keycloak 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 Keycloak. 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 Keycloak MCP in CrewAI
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