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How to Use the Cloudify MCP in Cursor

Inject live cloud infrastructure data into your code using the Cloudify MCP Server and Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

Cloudify MCP on Cursor AI Code Editor MCP Client Cloudify MCP on Claude Desktop App MCP Integration Cloudify MCP on OpenAI Agents SDK MCP Compatible Cloudify MCP on Visual Studio Code MCP Extension Client Cloudify MCP on GitHub Copilot AI Agent MCP Integration Cloudify MCP on Google Gemini AI MCP Integration Cloudify MCP on Lovable AI Development MCP Client Cloudify MCP on Mistral AI Agents MCP Compatible Cloudify MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Cursor

Connect Cloudify MCP to Cursor

Create your Vinkius account to connect Cloudify to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Fetch live blueprints into Cursor

Point `get_blueprint` at your infrastructure to pull structural properties directly into your editor. You get real data, not placeholders, while writing your logic. `list_blueprints` lets you browse your orchestration schemas without opening a browser tab. Keep your focus on your code while the agent manages the backend.

Verify deployment states in Cursor

Use `get_deployment` to pull precise execution topologies into your current project context. It ensures the code you write matches the reality of your cloud setup. `list_deployments` checks your runtime schemas against your environment. You catch configuration mismatches before you even run a build.

Debug infrastructure limits with Cursor

Execute `list_executions` to identify active cluster limits directly in your chat. You can visualize workflow bounds while refactoring your infrastructure code. `list_nodes` and `list_plugins` reveal the exact limits pushing your instances. This MCP Server gives you the specific routing rules needed to optimize your cloud footprint.

Setup guide

Set up Cloudify MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Cloudify MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Cloudify transactions." If the MCP tools are loaded correctly, Cursor will call the Cloudify tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "cloudify-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloudify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloudify MCP in Cursor

Create a .cursor/mcp.json file in your project root. Define the server path there, and the agent will detect the tools automatically.
It provides active structural data from your cloud environment. You get real responses that you can use to generate accurate code.
The agent reads the output of these tools and incorporates it into your code files. It saves you from copying and pasting terminal output.
You can query any node or plugin limit defined in your orchestration. It handles the full depth of your deployment topology.
The tool only reads your orchestration schemas and node states. It does not store or transmit your infrastructure keys outside of your local request-response cycle.

Start using the Cloudify MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Cloudify. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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