Bring Multi Cloud
to Vercel AI SDK
Create your Vinkius account to connect Cloudify to Vercel AI SDK and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Cloudify MCP Server?
Connect your Cloudify Manager to any AI agent and take full control of your multi-cloud orchestration through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Cloudify Manager URL and API Token
- Start orchestrating your infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Cloud Engineers — manage complex orchestration blueprints and deployments using natural language
- DevOps Teams — monitor workflow executions and node states without digging through the manager UI
- Platform Architects — audit multi-cloud integrations and plugin configurations across environments
- SREs — quickly identify failed executions and verify infrastructure lifecycle states
Built-in capabilities (7)
Perform structural extraction of properties driving active blueprint schemas
Extracts explicitly attached internal structural states pulling precise execution topologies
Identify bounded logical arrays managing top-level orchestration schemas
Retrieve the exact structural matching verifying actualized runtime schemas
Identify precise active cluster limits spanning deployment workflow bounds
Identify exact literal limits pushing specific instances routing orchestration rules
Extracts explicit capabilities mapping native orchestration limits
Why Vercel AI SDK?
The Vercel AI SDK gives every Cloudify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cloudify integration everywhere
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Built-in streaming UI primitives let you display Cloudify tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cloudify in Vercel AI SDK
Why run Cloudify with Vinkius?
The Cloudify connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Cloudify using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Cloudify and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Cloudify to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Cloudify for Vercel AI SDK
Every request between Vercel AI SDK and Cloudify is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent list all active cloud deployments?
Yes. Use the 'list_deployments' tool. Your agent will retrieve the exact structural matching of your actualized runtime schemas, showing you every environment currently managed by Cloudify.
How do I check the lifecycle state of a specific infrastructure node?
Provide the deployment ID to your agent and use the 'list_nodes' tool. The agent will resolve deeply nested nodes and identify whether instances are in 'started', 'created', or 'deleted' states.
Can I monitor pending workflow executions through the agent?
Absolutely. The 'list_executions' tool surfaces active mapping for install, uninstall, and heal workflows. This allows you to track transactions and deployment events strictly within Cloudify limits.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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