LLM/MCP Personal Assistant

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?

1. Conducting searches on Wikipedia for information retrieval
2. Searching GitHub repositories for code examples or libraries
3. 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.