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Cerbos MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Authzen Evaluation, Authzen Evaluations, Check Resources, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cerbos through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Cerbos MCP Server for Mastra AI 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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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "cerbos": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Cerbos Agent",
    instructions:
      "You help users interact with Cerbos " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Cerbos?"
  );
  console.log(result.text);
}

main();
Cerbos
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Cerbos tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire Cerbos into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 6 tools from Cerbos via MCP

Why Use Mastra AI with the Cerbos MCP Server

Mastra AI provides unique advantages when paired with Cerbos through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cerbos without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Cerbos tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Cerbos + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Cerbos MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Cerbos, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Cerbos as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Cerbos on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Cerbos tools alongside other MCP servers

Example Prompts for Cerbos in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Cerbos immediately.

01

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

02

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

03

"Show me the Cerbos server build details."

Troubleshooting Cerbos MCP Server with Mastra AI

Common issues when connecting Cerbos to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Cerbos + Mastra AI FAQ

Common questions about integrating Cerbos MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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