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zueai/mcp-manager

Free

用于安装和管理 Claude Desktop App 的 MCP 服务器的简单 Web UI。

FreeFree tier
Type
Open Source

About zueai/mcp-manager

MCP Manager is a simple web GUI that allows users to easily manage Model Context Protocol (MCP) servers for the Claude Desktop app on macOS. It provides a user-friendly interface for installing, configuring, and removing MCP servers, enabling Claude to access private data, APIs, and other services. The tool runs entirely client-side, ensuring data privacy, and offers one-click copying of terminal commands for quick setup. It supports a wide range of popular servers including Apple Notes, GitHub, Google Drive, PostgreSQL, and more.

Key Features

Easy-to-use interface for managing MCP servers
Runs entirely client-side - data never leaves your computer
Quick setup for 20+ popular MCP servers including Apple Notes, GitHub, Google Drive, PostgreSQL, Brave Search, and more
Simple configuration of environment variables and server settings
One-click copying of terminal commands for installation

Pros & Cons

Pros
  • Easy to use with a clean web GUI
  • Client-side execution ensures data privacy and security
  • Supports a wide range of popular MCP servers out of the box
  • One-click command copying simplifies installation
  • Open source and free to use
Cons
  • Only supports macOS (Claude Desktop app)
  • Requires terminal commands for initial setup
  • Limited to Claude Desktop; not a general MCP server manager
  • Some advanced servers may need additional configuration

Best For

Managing MCP servers for Claude Desktop on macOSEnabling Claude to access private data, APIs, and servicesSetting up integrations with Apple Notes, Google Drive, GitHub, and other platformsQuickly installing and configuring MCP servers without manual setup

FAQ

What is MCP?
The Model Context Protocol (MCP) enables Claude to access private data, APIs, and other services to answer questions and perform actions on your behalf. Learn more at modelcontextprotocol.io.
How do I install MCP Manager?
Clone the repository from GitHub and follow the setup instructions in the README. The tool is designed to be run locally with Bun; install dependencies with 'bun install' and start the dev server with 'bun dev'.