Bring Iam
to CrewAI
Learn how to connect Keycloak to CrewAI and start using 34 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Provide your Keycloak Base URL and a valid Admin Access Token
- Start managing your IAM infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- DevOps & SREs — Quickly audit realm events and manage client configurations during deployments.
- Security Administrators — Perform emergency password resets or session terminations via simple commands.
- Backend Developers — Setup test users and retrieve client credentials directly within the IDE flow.
Built-in capabilities (34)
Create an authentication flow
Create a new client
Create a top-level group
Create a realm-level role
Create a new user
Delete a client
Delete a group
Delete a realm
Delete a user
Get client representation
Get client secret
Get group representation
Get realm representation
Get a role by name
Get user representation
Import a realm
Get admin events for a realm
Get authentication flows
Get client-level roles
Get all clients in the realm
Get group hierarchy
Get accessible realms
Get required actions
Get realm-level roles
Get user groups
Get users in a realm
Remove all user sessions in a realm
Partial export of a realm
Regenerate client secret
Reset user password
Update a client
Update a group
Update realm information
Update a user
Why CrewAI?
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.
- —
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
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
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
- —
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 in CrewAI
Keycloak and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Keycloak to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Keycloak in CrewAI
The Keycloak 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. All 34 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Keycloak for CrewAI
Every tool call from CrewAI to the Keycloak MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I reset a user's password using this integration?
Yes. You can use the reset_user_password tool by providing the realm name, the user ID, and the new credential representation. This allows for immediate password management via the AI.
Is it possible to audit administrative changes in a specific realm?
Absolutely. The list_admin_events tool retrieves the history of administrative actions for a target realm, helping you track who changed what and when.
Can I retrieve OIDC client secrets for my applications?
Yes, the get_client_secret tool allows you to fetch the secret for any configured client in a realm. You can also use regenerate_client_secret if a rotation is required.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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.
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