CreateveAI Nexus

CreateveAI Nexus

Open-source MCP bridge enabling AI agents to securely access enterprise data and capabilities.

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Overview

Createve.AI Nexus implements the Model Context Protocol (MCP) to connect AI agents with real-world enterprise data and systems. It provides universal connectivity for MCP-enabled clients, two-way communication, dynamic discovery of capabilities, security-focused access control, and real-time updates via streaming data. It supports native MCP integration with Copilot Studio (in preview), and is compatible with other MCP-enabled agents and OpenAPI-based workflows (e.g., Dify). The architecture supports Azure deployment with Private Link, Key Vault for secrets, and Azure Active Directory for enterprise identity, plus robust security controls like RBAC, auditing, encryption in transit and at rest. It offers a modular API framework, dynamic endpoint loading, monitoring, and Docker containerization for deployment flexibility. Processing features include long-running jobs, auto-scaling, state persistence, and error recovery. Real-time data access through streaming sensor data and live business data, along with universal database connectivity and event-driven patterns, enables real-time analytics and streamlined integrations across line-of-business apps, document stores, CRM systems, and manufacturing data.

Details

Owner
spgoodman
Language
Python
License
Apache License 2.0
Updated
2025-12-07

Features

AI Agent Integration

Native MCP support enabling seamless agent connectivity, real-time data synchronization, automatic tool discovery and updates, and broad platform compatibility.

Enterprise Security

Azure Private Link integration, Key Vault secret management, API key authentication, and granular access control for secure deployments.

System Integration

Universal database connectivity, real-time data streaming, event-driven architecture, and message queue support for live data workflows.

Development Framework

Modular API architecture, dynamic endpoint loading, comprehensive monitoring, and Docker containerization to simplify deployment and extension.

Processing Capabilities

Long-running job management, auto-scaling, state persistence, and robust error recovery for resilient AI processing.

Audience

Enterprise IT teamsDeploy MCP-enabled agents to securely access live enterprise data and systems.
AI developers and integratorsBuild MCP-based integrations for Copilot Studio and other MCP-enabled agents.
Security and deployment teamsSecure enterprise deployments with Azure Key Vault, Private Link, RBAC, and auditing.

Tags

MCPCopilot StudioAzureKey VaultPrivate LinkOpenAPIDifyClaudeEnterpriseReal-TimeStreamingRBACDocker