Cerbos MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Authzen Evaluation, Authzen Evaluations, Check Resources, and more

Name: Cerbos
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 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 MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 6 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

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 Assistant",
            instructions=(
                "You help users interact with Cerbos. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cerbos"
        )
        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 MCP Server

Connect your Cerbos instance to any AI agent to manage complex authorization policies through natural language conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Cerbos through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cerbos, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Permission Evaluation — Use check_resources to instantly verify if a principal can perform specific actions on resources based on your policies.
Query Planning — Generate AST-based query plans with plan_resources to filter database results according to user permissions.
AuthZEN Compliance — Leverage standardized access requests using authzen_evaluation and authzen_evaluations tools.
System Monitoring — Check instance health and build metadata using get_server_info and get_authzen_config.

The Cerbos MCP Server exposes 6 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 6 Cerbos tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Cerbos 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.

authzen

Authzen evaluation on Cerbos

Single action evaluation using the AuthZEN entity model

authzen

Authzen evaluations on Cerbos

Supports execute_all, deny_on_first_deny, and permit_on_first_permit semantics. Batch evaluation of multiple access requests using AuthZEN

check

Check resources on Cerbos

This is a read-only evaluation. Evaluates permissions for a principal on a set of resources

get

Get authzen config on Cerbos

Returns endpoint URLs for the AuthZEN APIs

get

Get server info on Cerbos

Returns the version and build details of the Cerbos instance

plan

Plan resources on Cerbos

Produces a query plan for obtaining a list of resources a principal is allowed to access

Connect Cerbos to OpenAI Agents SDK via MCP

Follow these steps to wire Cerbos 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 6 tools from Cerbos

Why Use OpenAI Agents SDK with the Cerbos MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cerbos 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 + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Cerbos in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cerbos immediately.

"Check if principal 'user_123' with role 'editor' can 'edit' resource 'document:abc'."

"Generate a query plan for 'view' action on 'expense' resources for principal 'manager'."

"Show me the Cerbos server build details."

Troubleshooting Cerbos MCP Server with OpenAI Agents SDK

Common issues when connecting Cerbos 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 + OpenAI Agents SDK FAQ

Common questions about integrating Cerbos 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.