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Keycloak MCP Server for CrewAIGive CrewAI instant access to 34 tools to Create Auth Flow, Create Client, Create Group, and more

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Connect your CrewAI agents to Keycloak through Vinkius, pass the Edge URL in the `mcps` parameter and every Keycloak tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Keycloak MCP Server for CrewAI is a standout in the Fort Knox category — giving your AI agent 34 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Keycloak Specialist",
    goal="Help users interact with Keycloak effectively",
    backstory=(
        "You are an expert at leveraging Keycloak tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Keycloak "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 34 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Keycloak
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Keycloak MCP Server

Connect your Keycloak instance to any AI agent to streamline your Identity and Access Management (IAM) workflows. This server provides comprehensive tools to audit, configure, and maintain your security infrastructure through natural language.

When paired with CrewAI, Keycloak becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Keycloak tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • Realm Administration — List, import, and export realms, or monitor admin events to audit changes across your infrastructure.
  • User Management — Create, update, or delete users, reset passwords, and inspect user group memberships without leaving your chat interface.
  • Client Configuration — Manage OIDC/SAML clients, retrieve client secrets, and regenerate credentials instantly.
  • Groups & Roles — Organize your security hierarchy by managing groups and assigning roles at both realm and client levels.
  • Session Control — Force global logouts across entire realms to mitigate security threats in real-time.

The Keycloak MCP Server exposes 34 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 34 Keycloak tools available for CrewAI

When CrewAI connects to Keycloak through Vinkius, your AI agent gets direct access to every tool listed below — spanning iam, authentication, authorization, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create auth flow on Keycloak

Create an authentication flow

create

Create client on Keycloak

Create a new client

create

Create group on Keycloak

Create a top-level group

create

Create role on Keycloak

Create a realm-level role

create

Create user on Keycloak

Create a new user

delete

Delete client on Keycloak

Delete a client

delete

Delete group on Keycloak

Delete a group

delete

Delete realm on Keycloak

Delete a realm

delete

Delete user on Keycloak

Delete a user

get

Get client on Keycloak

Get client representation

get

Get client secret on Keycloak

Get client secret

get

Get group on Keycloak

Get group representation

get

Get realm on Keycloak

Get realm representation

get

Get role on Keycloak

Get a role by name

get

Get user on Keycloak

Get user representation

import

Import realm on Keycloak

Import a realm

list

List admin events on Keycloak

Get admin events for a realm

list

List auth flows on Keycloak

Get authentication flows

list

List client roles on Keycloak

Get client-level roles

list

List clients on Keycloak

Get all clients in the realm

list

List groups on Keycloak

Get group hierarchy

list

List realms on Keycloak

Get accessible realms

list

List required actions on Keycloak

Get required actions

list

List roles on Keycloak

Get realm-level roles

list

List user groups on Keycloak

Get user groups

list

List users on Keycloak

Get users in a realm

logout

Logout all users on Keycloak

Remove all user sessions in a realm

partial

Partial export realm on Keycloak

Partial export of a realm

regenerate

Regenerate client secret on Keycloak

Regenerate client secret

reset

Reset user password on Keycloak

Reset user password

update

Update client on Keycloak

Update a client

update

Update group on Keycloak

Update a group

update

Update realm on Keycloak

Update realm information

update

Update user on Keycloak

Update a user

Connect Keycloak to CrewAI via MCP

Follow these steps to wire Keycloak into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 34 tools from Keycloak

Why Use CrewAI with the Keycloak MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Keycloak through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Keycloak + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Keycloak MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Keycloak for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Keycloak, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Keycloak tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Keycloak against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Keycloak in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Keycloak immediately.

01

"List all realms available in our Keycloak instance."

02

"Get the details for user ID '550e8400-e29b' in the 'production-apps' realm."

03

"Create a new group called 'Engineering-Leads' in the 'master' realm."

Troubleshooting Keycloak MCP Server with CrewAI

Common issues when connecting Keycloak to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Keycloak + CrewAI FAQ

Common questions about integrating Keycloak MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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