The latest release of sgcWebSockets 2025.9.0 introduces a game-changing feature for AI developers and system integrators — full support for the Model Context Protocol (MCP). This innovation marks a major leap forward in how sgcWebSockets connects your AI-driven applications to the real world — from CRMs and databases to custom business tools.
What is MCP?
Model Context Protocol (MCP) is an emerging standard designed to enable AI systems to interact with live data sources — securely, efficiently, and in real time. MCP acts as a bridge between language models and your business infrastructure, allowing AI agents to retrieve, process, and update contextual information dynamically.
With MCP, AI applications can go beyond static knowledge — they can query CRMs, access databases, and trigger workflows with contextual precision.
Seamless Integration with sgcWebSockets
sgcWebSockets now includes the TsgcWSAPIServer_MCP component, a dedicated server for implementing the Model Context Protocol. This new capability transforms sgcWebSockets into a powerful backbone for AI orchestration — enabling direct, bidirectional communication between AI models and your data systems.
Some of the key features include:
- Real-time Data Connectivity – Connect your AI models with CRMs (like Salesforce or HubSpot), ERP systems, or SQL/NoSQL databases.
- AI Context Management – Let your AI agents understand, remember, and act upon structured business context.
- Model-Aware Workflows – Build intelligent workflows where AI decisions are informed by live operational data.
- High-Performance Protocol Layer – Enjoy all the reliability, speed, and scalability that sgcWebSockets is known for.
- Secure and Configurable – Fine-tune access, authentication, and communication channels for enterprise-grade security.
Boosting AI Productivity and Automation
With MCP integrated into sgcWebSockets, developers can now streamline how AI models interact with business data. Imagine AI agents that can:
- Retrieve customer information from your CRM during a chat interaction.
- Update database entries automatically when a support ticket is closed.
- Access live analytics data to generate context-aware reports or forecasts.
- Connect to internal systems through WebSockets without heavy middleware.
This transforms sgcWebSockets from a messaging framework into a complete AI integration layer, accelerating the creation of smart assistants, process automation bots, and real-time analytics dashboards.
Designed for Developers and Innovators
Whether you're building AI copilots, automation agents, or connected applications, MCP support in sgcWebSockets gives you a standardized, powerful, and flexible foundation. It eliminates the complexity of integrating AI with external systems — so you can focus on delivering value.
- Developers can define MCP servers in Delphi or C++ Builder.
- AI engineers can expose context endpoints directly through WebSocket APIs.
- Businesses gain a unified data layer that feeds their AI models with the freshest, most relevant information.
Available Now
Upgrade to sgcWebSockets 2025.9.0 today to take advantage of full MCP support and start building the next generation of AI-connected applications.
Learn more and explore the implementation guide in our official documentation.