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Vinkius

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

Built by Vinkius GDPR 7 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

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

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

main();
Cloudify
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 Cloudify MCP Server

Connect your Cloudify Manager to any AI agent and take full control of your multi-cloud orchestration through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Cloudify tool infrastructure. Connect 7 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

  • Blueprint Management — List and audit OASIS TOSCA blueprints parsing root Cloudify manager templates
  • Deployment Tracking — Retrieve exact structural matching of actualized runtime schemas and manage infrastructure states
  • Workflow Executions — Monitor install, uninstall, and heal transactions to track deployment events in real-time
  • Node Inspections — Resolve deeply nested infrastructure nodes and audit lifecycle properties (started, created, deleted)
  • Plugin Auditing — Discover installed Python abstractions for AWS, GCP, and other cloud integrations

The Cloudify MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cloudify to Mastra AI via MCP

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

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 7 tools from Cloudify via MCP

Why Use Mastra AI with the Cloudify MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cloudify 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 Cloudify 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

Cloudify + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Cloudify 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 Cloudify on a cron and store results in your database automatically

04

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

Cloudify MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Cloudify to Mastra AI via MCP:

01

get_blueprint

Perform structural extraction of properties driving active blueprint schemas

02

get_deployment

Extracts explicitly attached internal structural states pulling precise execution topologies

03

list_blueprints

Identify bounded logical arrays managing top-level orchestration schemas

04

list_deployments

Retrieve the exact structural matching verifying actualized runtime schemas

05

list_executions

Identify precise active cluster limits spanning deployment workflow bounds

06

list_nodes

Identify exact literal limits pushing specific instances routing orchestration rules

07

list_plugins

Extracts explicit capabilities mapping native orchestration limits

Example Prompts for Cloudify in Mastra AI

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

01

"List all blueprints in Cloudify Manager"

02

"Show me the execution history for deployment 'web-app-prod'"

03

"What nodes are currently in the 'started' state for deployment 'db-cluster'?"

Troubleshooting Cloudify MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Cloudify + Mastra AI FAQ

Common questions about integrating Cloudify 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.

Connect Cloudify to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.