Cerbos MCP Server for AutoGenGive AutoGen instant access to 6 tools to Authzen Evaluation, Authzen Evaluations, Check Resources, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cerbos as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Cerbos MCP Server for AutoGen is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cerbos_agent",
tools=tools,
system_message=(
"You help users with Cerbos. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cerbos tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Permission Evaluation — Use
check_resourcesto instantly verify if a principal can perform specific actions on resources based on your policies. - Query Planning — Generate AST-based query plans with
plan_resourcesto filter database results according to user permissions. - AuthZEN Compliance — Leverage standardized access requests using
authzen_evaluationandauthzen_evaluationstools. - System Monitoring — Check instance health and build metadata using
get_server_infoandget_authzen_config.
The Cerbos MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen 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 AutoGen
When AutoGen 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 evaluation on Cerbos
Single action evaluation using the AuthZEN entity model
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 resources on Cerbos
This is a read-only evaluation. Evaluates permissions for a principal on a set of resources
Get authzen config on Cerbos
Returns endpoint URLs for the AuthZEN APIs
Get server info on Cerbos
Returns the version and build details of the Cerbos instance
Plan resources on Cerbos
Produces a query plan for obtaining a list of resources a principal is allowed to access
Connect Cerbos to AutoGen via MCP
Follow these steps to wire Cerbos into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Cerbos MCP Server
AutoGen provides unique advantages when paired with Cerbos through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cerbos tools to solve complex tasks
Role-based architecture lets you assign Cerbos tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Cerbos tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Cerbos tool responses in an isolated environment
Cerbos + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Cerbos MCP Server delivers measurable value.
Collaborative analysis: one agent queries Cerbos while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Cerbos, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Cerbos data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Cerbos responses in a sandboxed execution environment
Example Prompts for Cerbos in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Cerbos to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Cerbos + AutoGen FAQ
Common questions about integrating Cerbos MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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