Cerbos (Access Control) MCP Server for CrewAIGive CrewAI instant access to 19 tools to Add Policy, Add Schema, Authzen Evaluation, and more
Connect your CrewAI agents to Cerbos (Access Control) through Vinkius, pass the Edge URL in the `mcps` parameter and every Cerbos (Access Control) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Cerbos (Access Control) MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="Cerbos (Access Control) Specialist",
goal="Help users interact with Cerbos (Access Control) effectively",
backstory=(
"You are an expert at leveraging Cerbos (Access Control) 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 Cerbos (Access Control) "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 19 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Cerbos (Access Control) MCP Server
Connect your Cerbos instance to any AI agent to streamline authorization management and policy auditing through natural language.
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.
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.
The Cerbos (Access Control) MCP Server exposes 19 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 19 Cerbos (Access Control) tools available for CrewAI
When CrewAI connects to Cerbos (Access Control) through Vinkius, your AI agent gets direct access to every tool listed below — spanning authorization, rbac, abac, 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.
Add policy on Cerbos (Access Control)
Add a new policy
Add schema on Cerbos (Access Control)
Add or update a schema
Authzen evaluation on Cerbos (Access Control)
Perform a single AuthZEN access evaluation
Authzen evaluations on Cerbos (Access Control)
Perform batch AuthZEN access evaluations
Check resources on Cerbos (Access Control)
Check permissions for a set of resources
Delete policy on Cerbos (Access Control)
Delete a policy by ID
Disable policy on Cerbos (Access Control)
Disable a policy
Enable policy on Cerbos (Access Control)
Enable a policy
Get authzen config on Cerbos (Access Control)
Get AuthZEN configuration metadata
Get health on Cerbos (Access Control)
Get Cerbos health status
Get metrics on Cerbos (Access Control)
Get Prometheus metrics from Cerbos
Get policy on Cerbos (Access Control)
Get a specific policy by ID
Get schema on Cerbos (Access Control)
Get a specific schema by ID
Get server info on Cerbos (Access Control)
Get Cerbos server version and build information
List audit logs on Cerbos (Access Control)
List audit logs
List policies on Cerbos (Access Control)
List all policies
List schemas on Cerbos (Access Control)
List all schemas
Plan resources on Cerbos (Access Control)
Produce a query plan (AST) for filtering resources
Update policy on Cerbos (Access Control)
Update an existing policy
Connect Cerbos (Access Control) to CrewAI via MCP
Follow these steps to wire Cerbos (Access Control) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 19 tools from Cerbos (Access Control)Why Use CrewAI with the Cerbos (Access Control) MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Cerbos (Access Control) through the Model Context Protocol.
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 `mcps` parameter 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) + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Cerbos (Access Control) MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Cerbos (Access Control) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Cerbos (Access Control), analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Cerbos (Access Control) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Cerbos (Access Control) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Cerbos (Access Control) in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Cerbos (Access Control) immediately.
"Check if user 'user_123' with role 'admin' can 'delete' the resource 'document:abc'."
"Show me the health status and version of my Cerbos server."
"List all policies and tell me if there are any for the 'expense' resource."
Troubleshooting Cerbos (Access Control) MCP Server with CrewAI
Common issues when connecting Cerbos (Access Control) to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Cerbos (Access Control) + CrewAI FAQ
Common questions about integrating Cerbos (Access Control) MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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