mcpstore-cli 0.1.18

Python MCP server registry and proxy for AI agents

🚀 mcpstore-cli

English | 中文说明

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Overview

mcpstore-cli is a powerful Python CLI tool for managing and proxying Model Context Protocol (MCP) servers. It provides a unified registry, installation, configuration, and proxy solution for AI agent developers. Supports MCP servers from PyPI, NPM, GitHub, Docker, and more.

• 🔍 Registry Search: Discover MCP servers from multiple sources
• 📦 One-Click Install: Install and configure servers for various clients
• 🛠️ Proxy Mode: Run as a transparent MCP proxy
• 🌐 Multi-Source: Supports PyPI, NPM, GitHub, Docker
• 🎨 Rich CLI: Beautiful, interactive command line interface

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Quick Start

Installation

pip install mcpstore-cli

Or use uv:

uv pip install mcpstore-cli

Basic Usage

Search for MCP servers

mcpstore-cli search weather

Show server info

mcpstore-cli info @turkyden/weather

Install server to client

mcpstore-cli install @turkyden/weather --client cursor --key <your-api-key>

List installed servers

mcpstore-cli list --client cursor

Run as MCP proxy

mcpstore-cli run @turkyden/weather --key <your-api-key>

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Configuration

• Config file: ~/.mcpstore/config.toml
• Environment variables: MCPSTORE_REGISTRY_URL, MCPSTORE_API_KEY, etc.
• Clients supported: Cursor, Claude Desktop, VS Code, Custom

Example config:

[registry]
url = "https://registry.mcpstore.dev"
api_key = "your-api-key"

[proxy]
host = "127.0.0.1"
port = 8080

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Architecture

• Proxy Mode: Acts as a transparent proxy between MCP client and server
• Registry: Aggregates servers from PyPI, NPM, GitHub, Docker
• CLI: Rich, interactive, multi-language

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FAQ

Q: How to publish my own MCP server? A: Publish to PyPI/NPM/GitHub/Docker, then register via mcpstore-cli.

Q: How to use with Cursor/Claude/VSCode? A: Use install command to configure the client automatically.

Q: How to update? A: pip install --upgrade mcpstore-cli or uv pip install --upgrade mcpstore-cli

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中文说明

简介

mcpstore-cli 是一款面向 AI 智能体开发者的 Python 命令行工具，支持 MCP 服务器的注册、发现、安装、配置和代理。支持 PyPI、NPM、GitHub、Docker 多源服务器。

• 🔍 注册表搜索：多源发现 MCP 服务器
• 📦 一键安装：自动安装配置到各类客户端
• 🛠️ 代理模式：透明代理 MCP 通信
• 🌐 多源支持：PyPI/NPM/GitHub/Docker
• 🎨 美观 CLI：交互式命令行体验

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快速开始

安装

pip install mcpstore-cli

或使用 uv：

uv pip install mcpstore-cli

基本用法

搜索服务器

mcpstore-cli search weather

查看服务器信息

mcpstore-cli info @turkyden/weather

安装服务器到客户端

mcpstore-cli install @turkyden/weather --client cursor --key <你的API密钥>

列出已安装服务器

mcpstore-cli list --client cursor

代理运行服务器

mcpstore-cli run @turkyden/weather --key <你的API密钥>

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配置

• 配置文件：~/.mcpstore/config.toml
• 环境变量：MCPSTORE_REGISTRY_URL、MCPSTORE_API_KEY 等
• 支持客户端：Cursor、Claude Desktop、VS Code、自定义

配置示例：

[registry]
url = "https://registry.mcpstore.dev"
api_key = "your-api-key"

[proxy]
host = "127.0.0.1"
port = 8080

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架构说明

• 代理模式：作为 MCP 客户端与服务器之间的透明代理
• 注册表聚合：支持 PyPI/NPM/GitHub/Docker 多源
• 命令行交互：支持中英文

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常见问题

Q: 如何发布自己的 MCP 服务器？ A: 发布到 PyPI/NPM/GitHub/Docker 后，用 mcpstore-cli 注册。

Q: 如何与 Cursor/Claude/VSCode 配合？ A: 用 install 命令自动配置。

Q: 如何升级？ A: pip install --upgrade mcpstore-cli 或 uv pip install --upgrade mcpstore-cli

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贡献与支持

• GitHub: https://github.com/xray918/mcpstore-cli
• Issues: https://github.com/xray918/mcpstore-cli/issues

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mcpstore-cli © 2024 xray918. MIT License.