Prisma Cloud MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Prisma Cloud through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Prisma Cloud, 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 Prisma Cloud MCP Server
Connect Prisma Cloud to any AI agent via MCP.
How to Connect Prisma Cloud to Vercel AI SDK via MCP
Follow these steps to integrate the Prisma Cloud MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Prisma Cloud and passes them to the LLM
Why Use Vercel AI SDK with the Prisma Cloud MCP Server
Vercel AI SDK provides unique advantages when paired with Prisma Cloud 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 Prisma Cloud integration everywhere
Built-in streaming UI primitives let you display Prisma Cloud 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
Prisma Cloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Prisma Cloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Prisma Cloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Prisma Cloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Prisma Cloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Prisma Cloud through natural language queries
Prisma Cloud MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Prisma Cloud to Vercel AI SDK via MCP:
get_alerts
Use this to identify misconfigurations or security risks in cloud resources. List active security alerts in Prisma Cloud
get_cloud_accounts
Use this to audit cloud inventory and verify onboarding status. List all cloud accounts onboarded in Prisma Cloud
get_compliance
Returns failing checks and remediation steps. Use this to audit cloud security posture and ensure regulatory compliance. Check cloud compliance status against benchmarks (CIS, etc)
get_network_anomalies
Use this to identify compromised workloads or insider threats. Detect network anomalies and unusual traffic patterns in the cloud
get_policies
Use this to review security rules enforced across cloud environments. List all security policies configured in Prisma Cloud
get_user_profile
Use this to verify API access levels or troubleshoot permissions. Get profile information for the authenticated Prisma Cloud user
run_rql_query
Requires a valid RQL string. Returns matching resources. Use this for custom compliance checks or hunting misconfigurations. Execute a Resource Query Language (RQL) query for deep cloud analysis
Troubleshooting Prisma Cloud MCP Server with Vercel AI SDK
Common issues when connecting Prisma Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPrisma Cloud + Vercel AI SDK FAQ
Common questions about integrating Prisma Cloud 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.Connect Prisma Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Prisma Cloud to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.