what is LLM/MCP Personal Assistant?
LLM/MCP Personal Assistant is a personal assistant chat application that utilizes the Model Context Protocol (MCP) to enable sophisticated interactions between AI models and external tools/resources.
how to use LLM/MCP Personal Assistant?
To use the assistant, clone the repository, install the necessary dependencies, set up your environment variables, and start the development server to interact with the assistant through a React-based web interface.
key features of LLM/MCP Personal Assistant?
- Modern React-based web interface for user interaction
- RESTful API for handling client requests
- MCP server implementation for AI model integration
- Support for Wikipedia and GitHub searches
- Easily extendable architecture for adding new tools and capabilities
use cases of LLM/MCP Personal Assistant?
- Conducting searches on Wikipedia for information retrieval
- Searching GitHub repositories for code examples or libraries
- Integrating additional tools for enhanced functionality in the future
FAQ from LLM/MCP Personal Assistant?
- What technologies are used in this project?
The project is built using Node.js, React, and Express.js, and it implements the Model Context Protocol.
- Is the assistant capable of integrating with other tools?
Yes! The architecture is designed to be easily extendable, allowing for the integration of new tools and features.
- How do I set up the project locally?
Follow the installation instructions in the README, which include cloning the repository, installing dependencies, and configuring environment variables.