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This application serves as a comprehensive example of an AI assistant, seamlessly integrating a FastMCP server with a MongoDB Atlas knowledge base and an LLM endpoint. It uniquely demonstrates direct MCP tool calling, enabling a sophisticated flow where user queries trigger LLM service function calls that directly invoke MCP tools, allowing retrieval of information from MongoDB Atlas to generate context-rich responses for the user.

Características Principales

• FastMCP Server with integrated document search and retrieval tools
• GitHub integration for automated repository document ingestion
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• Comprehensive REST API including chat and GitHub ingestion endpoints
• Seamless MongoDB Atlas integration for document storage and search
• LLM integration with direct tool calling capabilities for enhanced AI functionality

Casos de Uso

• Developing AI assistant applications leveraging custom tool calling
• Implementing Retrieval-Augmented Generation (RAG) systems for Large Language Models
• Integrating LLMs with external knowledge bases and services via structured APIs