LLM/MCP Personal Assistant

What is LLM/MCP Personal Assistant?

LLM/MCP Personal Assistant is a personal assistant application built using the Model Context Protocol (MCP). It enables sophisticated interactions between AI models and external tools/resources, currently using the Anthropic API and supporting Wikipedia search and GitHub search. The architecture is designed to be easily extendable with additional tools.

How to use LLM/MCP Personal Assistant?

Clone the repository, install dependencies with pnpm install, create a .env file with your ANTHROPIC_API_KEY, and start the development server with pnpm dev. This command builds the MCP server, starts the API server, and launches the Vite development server for the client.

Key features of LLM/MCP Personal Assistant

• Modern React-based web interface
• RESTful API for handling client requests
• MCP server for AI model integration
• Support for Wikipedia and GitHub search
• Extendable architecture for adding new tools
• Built with Node.js (v14+) and pnpm

Use cases of LLM/MCP Personal Assistant

• Searching Wikipedia through natural language AI interactions
• Searching GitHub repositories via the assistant
• Building a custom personal assistant with MCP tool integration

FAQ from LLM/MCP Personal Assistant

What tools are currently supported?

Wikipedia search and GitHub search are supported; the architecture is designed to be easily extended.

What AI model does the assistant use?

It currently uses the Anthropic API (no specific model named in the README).

What are the system requirements?

Node.js v14 or higher and pnpm v10.9.0 or higher are required.

How do I configure my API key?

Create a .env file in the root directory with the variable ANTHROPIC_API_KEY=your_anthropic_api_key_here.

Is this application production-ready?

No — the README states it is a work in progress.