Cerbos (Access Control) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 19 tools to Add Policy, Add Schema, Authzen Evaluation, and more

Name: Cerbos (Access Control)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cerbos (Access Control) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Cerbos (Access Control) MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 19 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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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cerbos (Access Control) Assistant",
            instructions=(
                "You help users interact with Cerbos (Access Control). "
                "You have access to 19 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cerbos (Access Control)"
        )
        print(result.final_output)

asyncio.run(main())

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 Cerbos (Access Control) MCP Server

Connect your Cerbos instance to any AI agent to streamline authorization management and policy auditing through natural language.

The OpenAI Agents SDK auto-discovers all 19 tools from Cerbos (Access Control) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cerbos (Access Control), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Permission Checks — Use check_resources to evaluate if a principal (user) has the rights to perform specific actions on resources.
Query Planning — Generate AST query plans with plan_resources to 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_policies and add_policy.
Schema & Auditing — Inspect resource schemas and review access logs with list_auditLogs to ensure compliance.
Health & Metrics — Monitor your PDP (Policy Decision Point) status with get_health and get_metrics directly from the chat.

The Cerbos (Access Control) MCP Server exposes 19 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Add policy on Cerbos (Access Control)

Add a new policy

add

Add schema on Cerbos (Access Control)

Add or update a schema

authzen

Authzen evaluation on Cerbos (Access Control)

Perform a single AuthZEN access evaluation

authzen

Authzen evaluations on Cerbos (Access Control)

Perform batch AuthZEN access evaluations

check

Check resources on Cerbos (Access Control)

Check permissions for a set of resources

delete

Delete policy on Cerbos (Access Control)

Delete a policy by ID

disable

Disable policy on Cerbos (Access Control)

Disable a policy

enable

Enable policy on Cerbos (Access Control)

Enable a policy

get

Get authzen config on Cerbos (Access Control)

Get AuthZEN configuration metadata

get

Get health on Cerbos (Access Control)

Get Cerbos health status

get

Get metrics on Cerbos (Access Control)

Get Prometheus metrics from Cerbos

get

Get policy on Cerbos (Access Control)

Get a specific policy by ID

get

Get schema on Cerbos (Access Control)

Get a specific schema by ID

get

Get server info on Cerbos (Access Control)

Get Cerbos server version and build information

list

List audit logs on Cerbos (Access Control)

List audit logs

list

List policies on Cerbos (Access Control)

List all policies

list

List schemas on Cerbos (Access Control)

List all schemas

plan

Plan resources on Cerbos (Access Control)

Produce a query plan (AST) for filtering resources

update

Update policy on Cerbos (Access Control)

Update an existing policy

Connect Cerbos (Access Control) to OpenAI Agents SDK via MCP

Follow these steps to wire Cerbos (Access Control) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 19 tools from Cerbos (Access Control)

Why Use OpenAI Agents SDK with the Cerbos (Access Control) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cerbos (Access Control) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cerbos (Access Control) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cerbos (Access Control) MCP Server delivers measurable value.

Automated workflows: build agents that query Cerbos (Access Control), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Cerbos (Access Control), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Cerbos (Access Control) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Cerbos (Access Control) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Cerbos (Access Control) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Cerbos (Access Control) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cerbos (Access Control) + OpenAI Agents SDK FAQ

Common questions about integrating Cerbos (Access Control) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.