Project Update: MCP Research Progress by BizFirstAI.com

We’re excited to share recent developments from the BizFirstAI research team on the MCP Server Project. This initiative reflects our ongoing commitment to designing modular, intelligent AI systems rooted in clarity and purpose.

Milestone Reached

Our team has successfully built a demonstration MCP Server integrated with BIDF (BizFirst Intent Detection Framework), now combined with a working sample module for product and customer search for demo purposes. This marks a key step forward in proving the viability of MCP as a service layer between independent AI agents and data stores.

GitHub Repository:
GitHub - operatecrypto/BizFirstAiMCPLabs

Read more:
Introduction – Model Context Protocol

Project Objectives

The MCP Project is crafted as a streamlined showcase of agent interaction—avoiding unnecessary complexity and maintaining a sharp focus on core principles. Each component adheres strictly to the Single Responsibility Principle, ensuring modular clarity and ease of understanding for developers.

Our primary goal is to demystify the implementation of agent-based systems. By providing simple, concrete examples, we hope to inspire architects and developers to explore MCP as a foundation for real-world AI applications.

A Resource for Developers and Builders

Whether you're a curious developer or an experienced system designer, this project is intended as a starting point. We encourage you to browse related repositories, experiment with individual modules, and remix them to fit your own AI use cases.

MCP is more than just a protocol—it’s a mindset toward building with purpose and modularity.

You can explore the project in detail on our GitHub repository, which includes a functional demo, agent modules, and a UI interface for testing interactions.

Coming Soon

We’re currently working on several resources to support adoption and experimentation:

  • Detailed development walkthroughs
  • Full SDK documentation
  • Best practices for extending the MCP Server with domain-specific agents

Our long-term vision is to foster a collaborative ecosystem where MCP serves as a flexible bridge between intelligent agents. By making it accessible and practical, we hope to empower a new wave of modular AI innovation.

To learn more about our broader mission and other AI initiatives, visit BizFirstAI.com.

Thank you for following our progress. We’re just getting started—and we’re thrilled to have you with us as we build the future of intelligent, coordinated AI systems.

Wonderful work by Akhil Javvadi and team.

https://www.linkedin.com/pulse/ai-mcp-server-bizfirstaicom-binoy-jose-3ovmc/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base%3BxFiBB62WRdOAhAxvPDQHTQ%3D%3D