Mcp Server Commandline

@Allenyzhon 10 months ago

1 MIT

FreeCommunity

AI Systems

This is a simple MCP-Server for command line, and the main idea belongs to hdcola

What is Mcp Server Commandline

MCP-Server-CommandLine is a simple command line interface for manipulating your Mac using AI through natural language processing. It is inspired by a bootcamp lecture by hdcola.

Use cases

Use cases include automating repetitive tasks, controlling system settings via voice commands, and integrating with other AI tools to streamline workflows.

How to use

To use MCP-Server-CommandLine, you need to install the necessary packages and build the project. Run the following commands in your terminal: pnpm i to install dependencies and pnpm build to build the project.

Key features

Key features include a user-friendly command line interface, integration with AI for natural language processing, and the ability to perform various tasks on a Mac system efficiently.

Where to use

MCP-Server-CommandLine can be used in software development, automation tasks, and any scenario where natural language commands can enhance user interaction with Mac systems.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Server Commandline

MCP-Server-CommandLine is a simple command line interface for manipulating your Mac using AI through natural language processing. It is inspired by a bootcamp lecture by hdcola.

Use cases

Use cases include automating repetitive tasks, controlling system settings via voice commands, and integrating with other AI tools to streamline workflows.

How to use

Key features

Key features include a user-friendly command line interface, integration with AI for natural language processing, and the ability to perform various tasks on a Mac system efficiently.

Where to use

MCP-Server-CommandLine can be used in software development, automation tasks, and any scenario where natural language commands can enhance user interaction with Mac systems.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCP-Server for command line

The idea and code was coming from the bootcamp lectured by hdcola

This is a simple mcp-server for command line using for muniplulating your mac with AI by natural language.

How to use

pnpm i
pnpm build

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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