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Cloudify MCP Server

Name: Cloudify
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR ToolsFree for Subscribers

Orchestrate cloud infrastructure via Cloudify — manage blueprints, deployments, and monitor workflow executions directly from any AI agent.

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What is the Cloudify MCP Server?

The Cloudify MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Cloudify via 7 tools. Orchestrate cloud infrastructure via Cloudify — manage blueprints, deployments, and monitor workflow executions directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (7)

get_blueprintget_deploymentlist_blueprintslist_deploymentslist_executionslist_nodeslist_plugins

Tools for your AI Agents to operate Cloudify

Ask your AI agent "List all blueprints in Cloudify Manager" and get the answer without opening a single dashboard. With 7 tools connected to real Cloudify data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Vinkius works with every AI agent you already use

…and any MCP-compatible client

Cloudify MCP Server capabilities

7 tools

get_blueprint

Perform structural extraction of properties driving active blueprint schemas

get_deployment

Extracts explicitly attached internal structural states pulling precise execution topologies

list_blueprints

Identify bounded logical arrays managing top-level orchestration schemas

list_deployments

Retrieve the exact structural matching verifying actualized runtime schemas

list_executions

Identify precise active cluster limits spanning deployment workflow bounds

list_nodes

Identify exact literal limits pushing specific instances routing orchestration rules

list_plugins

Extracts explicit capabilities mapping native orchestration limits

What the Cloudify MCP Server unlocks

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

1. Subscribe to this server
2. Enter your Cloudify Manager URL and API Token
3. 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

Frequently asked questions about the Cloudify MCP Server

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.