
fgs2025 talking with smart solution
Talking with your smart solution - Integrating FIWARE and AI Agents using LLM
Repository Info
About This Server
Talking with your smart solution - Integrating FIWARE and AI Agents using LLM
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
fgs2025-talking-with-smart-solution
Talking with your smart solution - Integrating FIWARE and AI Agents using LLM Code and slides for the FIWARE Global Summit training "Talking with your smart solution".
Overview
Unlock the potential of your Smart App by harnessing the power of natural language. In this webinar, discover how the rise of large language models (LLMs) can transform the way you query context data, making interactions more intuitive and dynamic. Learn a strategy to seamlessly integrate LLM-driven capabilities into your existing deployment, opening the door to agentic interaction over your contextual data, and unlock new opportunities for smarter, context-aware applications.
This repository contains the code and presentation materials from the FIWARE Foundation webinar focused on creating natural language interfaces for the Context Broker.
Project Description
This project demonstrates how to build an intuitive interface that allows users to interact with a Context Broker using plain English (or your language of choice) commands. The solution aims to:
- Lower the technical barrier for newcomers to the FIWARE ecosystem
- Enable quick data exploration and visualization from Context Broker instances
- Provide an understanding of entity types, attributes, and relationships through natural language queries
- Serve as a foundation for building more sophisticated interaction tools
Key Features
- Natural language processing for Context Broker queries
- Data extraction and visualization capabilities
- Interactive command interface
- Educational resources for FIWARE beginners
Applications
The project can be utilized for:
- Rapid inspection of FIWARE solutions
- Creating assisted tutorials for newcomers
- Developing sophisticated querying interfaces
- Streamlining Context Broker data population
- Building educational tools for the FIWARE ecosystem
Resources
This repository includes:
- Source code for the chatbot interface (Link to MCP Server)
- Webinar presentation slides
- Documentation and setup instructions
Quick Start
Clone the repository
git clone https://github.com/dncampo/fgs2025-talking-with-smart-solutionInstall dependencies
cd fgs2025-talking-with-smart-solution
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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