MCP For Claude Marketplace
Cloudify

Cloudify MCP Connector for Claude

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

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

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
multi-cloudorchestrationtoscaworkflow-automationinfrastructure-managementdeployment-tracking

7 tools expose this connector's capabilities to your AI agent.

list_blueprints

Identify bounded logical arrays managing top-level orchestration schemas

get_blueprint

Perform structural extraction of properties driving active blueprint schemas

list_deployments

Retrieve the exact structural matching verifying actualized runtime schemas

get_deployment

Extracts explicitly attached internal structural states pulling precise execution topologies

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

See how to talk to your AI agent using Cloudify.

List all blueprints in Cloudify Manager

I found 5 blueprints. The active ones are: 'aws-three-tier', 'gcp-k8s-cluster', and 'hybrid-db-template'. Which one would you like to inspect?

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

Retrieving executions for 'web-app-prod'... The last workflow was 'install' which finished successfully. There is a 'heal' execution from yesterday that was triggered automatically.

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

Analyzing nodes for 'db-cluster'... I found 3 nodes in 'started' state: 'primary-node-1', 'replica-node-1', and 'load-balancer-internal'. All instances are healthy.

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.

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