LLM/MCP Personal Assistant

@mikefey

Repository

Basic information

About LLM/MCP Personal Assistant

A personal assistant chat app that uses an MCP server

#llm-mcp#personal-assistant#chat-app

LLM/MCP Personal Assistant config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

LLM/MCP Personal Assistant tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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