Prisma Cloud MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Name: Prisma Cloud
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

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

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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: {
      "prisma-cloud": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Prisma Cloud Agent",
    instructions:
      "You help users interact with Prisma Cloud " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();

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About Prisma Cloud MCP Server

Connect Prisma Cloud to any AI agent via MCP.

How to Connect Prisma Cloud to Mastra AI via MCP

Follow these steps to integrate the Prisma Cloud MCP Server with Mastra AI.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

Mastra discovers 7 tools from Prisma Cloud via MCP

Why Use Mastra AI with the Prisma Cloud MCP Server

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

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

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

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

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

Prisma Cloud + Mastra AI Use Cases

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

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

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

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

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

Prisma Cloud MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Prisma Cloud to Mastra AI 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