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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cerbos (Access Control) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Cerbos (Access Control) MCP Server for Vercel AI 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

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Cerbos (Access Control), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Cerbos (Access Control)
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 Vercel AI SDK gives every Cerbos (Access Control) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 19 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 19 tools from Cerbos (Access Control) and passes them to the LLM

Why Use Vercel AI SDK with the Cerbos (Access Control) MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cerbos (Access Control) integration everywhere

03

Built-in streaming UI primitives let you display Cerbos (Access Control) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Cerbos (Access Control) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Cerbos (Access Control) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Cerbos (Access Control) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Cerbos (Access Control) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Cerbos (Access Control) through natural language queries

Example Prompts for Cerbos (Access Control) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cerbos (Access Control) immediately.

01

"Check if user 'user_123' with role 'admin' can 'delete' the resource 'document:abc'."

02

"Show me the health status and version of my Cerbos server."

03

"List all policies and tell me if there are any for the 'expense' resource."

Troubleshooting Cerbos (Access Control) MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cerbos (Access Control) + Vercel AI SDK FAQ

Common questions about integrating Cerbos (Access Control) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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