MCP Chat Application

Example Use Cases

• 1

  Interact with multiple MCP servers simultaneously for diverse tasks.

• 2

  A conversational AI interface leveraging Google's Gemini LLM integrated with custom tools.

• 3

  A configurable, production-ready chat application with both web and CLI access.

Description

This MCP server provides a production-ready chat application that integrates Google's Gemini large language model with various local and remote servers using the Model Context Protocol. It supports multiple servers including expense tracking, math operations, and animation generation, all configurable via YAML and environment variables. The application offers both a web interface and CLI, comprehensive logging, robust error handling, and is tested for reliability. It enables seamless conversational AI interactions enhanced by connected tools.