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LLM/MCP Personal Assistant

@mikefey

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

mikefey

关于 LLM/MCP Personal Assistant

A personal assistant chat app that uses an MCP server

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

LLM/MCP Personal Assistant 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

LLM/MCP Personal Assistant 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

What tools are currently supported?

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

2

What AI model does the assistant use?

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

3

What are the system requirements?

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

4

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`.

5

Is this application production-ready?

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

评论

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