Createve.AI Nexus MCP Server

What does “Createve.AI Nexus” MCP Server do?

Createve.AI Nexus is an open-source MCP (Model Context Protocol) server designed to bridge AI assistants—such as LLMs and agents—with enterprise systems, APIs, and real-world data sources. Developed by RootUK, it provides a universal integration layer that enables AI agents to securely access organizational data, trigger workflows, and interact with business applications. Createve.AI Nexus supports a variety of platforms, including Microsoft Copilot Studio (in preview), Anthropic’s Claude, and any MCP-enabled client, making it highly versatile for deployment scenarios. Its capabilities include real-time data streaming from sensors, secure connectivity to internal systems, role-based access management, and deployment features for enterprise environments (e.g., Azure integration, Private Link, Key Vault). By implementing MCP, Createve.AI Nexus empowers developers to build richer, context-aware AI solutions that can perform advanced tasks such as database queries, workflow automation, and live analytics integration.

List of Prompts

No information about prompt templates is available in the provided repository.

List of Resources

No explicit resources are listed in the available documentation or repository files.

List of Tools

No detailed list of tools is documented in the repository files or code structure.

Use Cases of this MCP Server

• Manufacturing Intelligence
  • Connects Copilot Studio and other AI agents to live production lines, equipment sensors, and maintenance systems, enabling real-time monitoring, analytics, and predictive maintenance.
• Document Management Integration
  • Links AI assistants with document management systems and knowledge bases, allowing users to query, summarize, or extract information from organizational content.
• Internal Workflow Automation
  • Enables AI-driven workflow automation by interfacing with internal business processes, such as ticketing, approval chains, or custom workflows.
• Real-Time Data Access & Analysis
  • Streams sensor or business data to AI agents for live analytics, anomaly detection, and rapid decision-making in operational environments.

How to set it up

Windsurf

1. Ensure prerequisites such as Node.js and MCP support are installed.
2. Open your Windsurf configuration file.
3. Add the Createve.AI Nexus MCP Server with the following snippet:

   {
     "mcpServers": {
       "createveai-nexus": {
         "command": "npx",
         "args": ["@createveai-nexus-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the Createve.AI Nexus MCP Server is running and accessible.

Securing API Keys (Windsurf Example):

{
  "mcpServers": {
    "createveai-nexus": {
      "command": "npx",
      "args": ["@createveai-nexus-server@latest"],
      "env": {
        "API_KEY": "${API_KEY}"
      },
      "inputs": {
        "api_key": "${API_KEY}"
      }
    }
  }
}

Claude

1. Install prerequisites and ensure MCP is supported.
2. Locate the Claude desktop app’s MCP configuration file.
3. Add the Createve.AI Nexus MCP Server:

   {
     "mcpServers": {
       "createveai-nexus": {
         "command": "npx",
         "args": ["@createveai-nexus-server@latest"]
       }
     }
   }
   

4. Restart Claude.
5. Confirm the server is connected.

API Key Security:

"env": {
  "API_KEY": "${API_KEY}"
}

Cursor

1. Verify Node.js and MCP support.
2. Open Cursor’s configuration settings.
3. Insert the following MCP server configuration:

   {
     "mcpServers": {
       "createveai-nexus": {
         "command": "npx",
         "args": ["@createveai-nexus-server@latest"]
       }
     }
   }
   

4. Save and restart Cursor.
5. Check the MCP server connection.

Cline

1. Ensure Cline supports MCP integration.
2. Open the relevant configuration file.
3. Add Createve.AI Nexus MCP server:

   {
     "mcpServers": {
       "createveai-nexus": {
         "command": "npx",
         "args": ["@createveai-nexus-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Verify MCP server functionality.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "createveai-nexus": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “createveai-nexus” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Createve.AI Nexus MCP Server scores moderately due to its clear enterprise orientation, robust setup options, and licensing, but lacks explicit documentation for prompts, resources, and tools. Its real-world use cases are strong, but more technical transparency would improve its utility.

MCP Score