Cerbos MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Authzen Evaluation, Authzen Evaluations, Check Resources, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cerbos 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 MCP Server for Vercel AI SDK 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 { 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, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Cerbos tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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 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 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 6 Cerbos tools available for Vercel AI SDK
When Vercel AI 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 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 Vercel AI SDK via MCP
Follow these steps to wire Cerbos into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Cerbos MCP Server
Vercel AI SDK provides unique advantages when paired with Cerbos through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cerbos integration everywhere
Built-in streaming UI primitives let you display Cerbos tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cerbos + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cerbos MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cerbos in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cerbos tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cerbos capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cerbos through natural language queries
Example Prompts for Cerbos in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Cerbos to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCerbos + Vercel AI SDK FAQ
Common questions about integrating Cerbos MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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