Bring Authorization
to CrewAI
Learn how to connect Cerbos (Access Control) to CrewAI and start using 19 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 Cerbos (Access Control) MCP Server?
Connect your Cerbos instance to any AI agent to streamline authorization management and policy auditing through natural language.
What you can do
- Permission Checks — Use
check_resourcesto evaluate if a principal (user) has the rights to perform specific actions on resources. - Query Planning — Generate AST query plans with
plan_resourcesto filter database results based on complex authorization logic. - Policy Management — List, retrieve, add, or delete policies (RBAC/ABAC) using the Admin API tools like
list_policiesandadd_policy. - Schema & Auditing — Inspect resource schemas and review access logs with
list_auditLogsto ensure compliance. - Health & Metrics — Monitor your PDP (Policy Decision Point) status with
get_healthandget_metricsdirectly from the chat.
How it works
- Subscribe to this server
- Enter your Cerbos PDP URL and Admin credentials (if required for policy management)
- Start auditing and managing your access control logic from Claude, Cursor, or any MCP client
Who is this for?
- Security Engineers — quickly audit existing policies and verify permission logic without manual API calls
- Backend Developers — test authorization scenarios and generate database filter plans during development
- Compliance Officers — retrieve audit logs and policy definitions to ensure organizational security standards
Built-in capabilities (19)
Add a new policy
Add or update a schema
Perform a single AuthZEN access evaluation
Perform batch AuthZEN access evaluations
Check permissions for a set of resources
Delete a policy by ID
Disable a policy
Enable a policy
Get AuthZEN configuration metadata
Get Cerbos health status
Get Prometheus metrics from Cerbos
Get a specific policy by ID
Get a specific schema by ID
Get Cerbos server version and build information
List audit logs
List all policies
List all schemas
Produce a query plan (AST) for filtering resources
Update an existing policy
Why CrewAI?
When paired with CrewAI, Cerbos (Access Control) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Cerbos (Access Control) 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
Cerbos (Access Control) in CrewAI
Cerbos (Access Control) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cerbos (Access Control) 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 Cerbos (Access Control) in CrewAI
The Cerbos (Access Control) 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 19 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
Cerbos (Access Control) for CrewAI
Every tool call from CrewAI to the Cerbos (Access Control) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I test if a specific user has access to a resource without writing code?
Yes. You can ask the agent to use the check_resources tool by providing the principal (user) details and the resource you want to check. The agent will return the allowed or denied status based on your Cerbos policies.
How do I view all the authorization policies currently loaded in my Cerbos server?
Simply ask the agent to 'list all policies'. It will invoke the list_policies tool (requires Admin credentials) and display the IDs of all active policies in your environment.
Can the AI help me generate filters for my database based on permissions?
Yes, by using the plan_resources tool. The agent will generate a query plan (AST) that describes the conditions under which a user is allowed to access resources, which you can then apply to your database queries.
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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