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Lab-Demo: Universal API Assistant

Universal API Assistant

Overview​

Find the demo in the MEDIUM article Building a Universal Assistant to connect with any API by Pranav Dhoolia. It showcases how to create an intelligent assistant that can connect with any API using OpenAPI specifications and Claude's Model Context Protocol (MCP).

Key Takeaways​

MCP Server Integration​

The solution uses a generic MCP server that converts OpenAPI specifications into MCP tools, allowing dynamic exposure of API endpoints as tools that the assistant can use.

Enhanced Schema Resolution​

The implementation includes improved schema resolution to properly handle:

  • Reference resolution in OpenAPI specifications
  • Operation details preservation
  • Selective schema refinement for efficient token usage

Tool Selection Process​

The system implements a two-stage process:

  1. Initial tool selection based on user intent
  2. Schema refinement for selected tools to optimize performance

Implementation Benefits​

Universal Connectivity​

  • Connect to any service with an OpenAPI specification
  • Automatic endpoint exposure as tools
  • Dynamic authentication handling

Enhanced Accuracy​

  • Better understanding of API capabilities
  • Improved parameter mapping
  • More reliable tool selection

Integration with CAP Platform​

This universal API assistant demonstrates several key capabilities of our Core AI Platform:

  • Flexible service integration
  • Intelligent tool selection
  • Context-aware operations

Source​

This implementation is based on research and development by Pranav Dhoolia, showcasing practical applications of MCP and OpenAPI integration in AI assistants.