Mcpsandbox

3 MIT

FreeCommunity

AI Systems

Web MCP Client

What is Mcpsandbox

mcpsandbox is a web-based MCP Client designed to create a sandbox environment for AI developers on VPS.

Use cases

Use cases include developing and testing AI applications, running automated tests in a sandboxed environment, and experimenting with different MCP configurations.

How to use

To use mcpsandbox, clone the repository, set the ANTHOROPIC_API_KEY environment variable, install the necessary packages with npm, start the MCP servers, and run the development server.

Key features

Key features include a user-friendly interface for managing MCP connections, support for various MCP servers like Playwright, and the ability to run in a headless mode.

Where to use

mcpsandbox can be used in AI development, testing environments, and any scenario where a controlled MCP environment is needed.

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 Mcpsandbox

mcpsandbox is a web-based MCP Client designed to create a sandbox environment for AI developers on VPS.

Use cases

Use cases include developing and testing AI applications, running automated tests in a sandboxed environment, and experimenting with different MCP configurations.

How to use

To use mcpsandbox, clone the repository, set the ANTHOROPIC_API_KEY environment variable, install the necessary packages with npm, start the MCP servers, and run the development server.

Key features

Key features include a user-friendly interface for managing MCP connections, support for various MCP servers like Playwright, and the ability to run in a headless mode.

Where to use

mcpsandbox can be used in AI development, testing environments, and any scenario where a controlled MCP environment is needed.

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

mcpsandbox

mcpsandbox is a MCP Client, works on VPS, sandbox MCP environment for all AI developers!

Quickstart

# set the environment variable, ANTHOROPIC_API_KEY 
git clone https://github.com/yammerjp/mcpsandbox.git
cd mcpsandbox
npm install

# start mcp servers
# ex: playwright
npx @playwright/mcp@latest --port 8931 --headless &

npm run dev

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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