Agentic Chatbot

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This mini-project demonstrates the creation of an advanced agentic chatbot that leverages the Model Context Protocol (MCP) for seamless inter-process communication with external tools. It integrates Spring AI for the frontend and agent management, alongside NodeJS and Python for building diverse MCP servers (STDIO or SSE modes). The chatbot’s intelligence is powered by Ollama and the Mistral language model, allowing it to interact with out-of-process tools to enrich its responses and capabilities, providing a comprehensive example for building sophisticated AI agents.

Características Principales

• Facilitates inter-process communication via Model Context Protocol (MCP).
• Supports out-of-process tool integration using NodeJS and Python MCP servers (STDIO/SSE).
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• Integrates Spring AI for robust agentic chatbot development.
• Leverages Ollama and Mistral LLM for intelligent chat responses.
• Provides example implementations for custom tool functions (e.g., stock data, employee info).

Casos de Uso

• Exploring Model Context Protocol (MCP) implementations across different programming environments.
• Building agentic chatbots with external tool integration capabilities.
• Demonstrating cross-language communication for LLM-powered applications.