Overview

The leading data product company aimed to enable their end users to interact with the application using natural language commands. Additionally, the customer wanted to expose the application's API as a tool for integration with LLMs, starting with Claude Desktop. This would allow end users to access data from the platform directly within Claude Desktop, leveraging the LLM's capabilities for formatting and generating responses.

Challenges

  • Unified Implementation for Both Requirements: The customer required a unified implementation that could function as a set of tools for both the application and LLM integrations.
  • Reuse of Existing Logic: The customer emphasized reusing all existing logic and processing to ensure efficiency and consistency across the solution.
  • Support for AI Agent automation:The implementation needed to support Claude Desktop while also accommodating the requirements of AI agent automation. The architecture had to be designed to deliver a single, cohesive solution that addressed both objectives seamlessly.
challenges

Solutions

  • MCP Protocol Based Solution: Built on the Open Source Model Context Protocol, enabling rapid integration and efficient code reuse across your applications
  • REST Layer on MCP Client: Our innovative REST layer on the MCP client simplifies server communication, delivering streamlined API endpoints for quick enterprise deployment.
  • Flexible LLM Selection: Powered by AWS Bedrock, offering seamless selection and switching between leading AI models to match your specific business needs.
solution
Verodat_AI_Agents_MCP_W

Benefits

  • Unified Architecture: Single, powerful solution addressing multiple challenges while streamlining implementation and deployment.
  • Cost-Effective Integration: Accelerated development through existing API infrastructure, delivering significant cost savings and faster time-to-market.
  • Future-Ready Design: Modular architecture enabling seamless integration of new tools and APIs, supporting expanding AI agent capabilities and automation needs.
benefit

Conclusion

The solution provided customers with a competitive advantage by incorporating AI agent functionality into the application. Users could accomplish tasks using natural language commands instead of navigating through multiple steps in the user interface. Additionally, the solution enabled users to interact with the application through tools like Claude Desktop, generating meaningful outputs from the language model

conclusion