Arrakis Mcp Server

@abshkbhon 10 months ago

7 AGPL-3.0

FreeCommunity

AI Systems

MCP server for https://github.com/abshkbh/arrakis

What is Arrakis Mcp Server

Arrakis MCP Server is a Model Context Protocol (MCP) server that provides access to the Arrakis VM sandbox functionality, designed for integration with Large Language Models.

Use cases

Use cases include running isolated experiments with Large Language Models, managing VM states for testing, and facilitating file transfers between host and virtual environments.

How to use

To use the Arrakis MCP Server, clone the repository, navigate to the directory, and configure your LLM tool to point to the server by adding specific settings to your MCP configuration.

Key features

Key features include the ability to list available VMs, start and manage VM sandboxes, create and restore snapshots, execute commands, and upload/download files within VMs.

Where to use

Arrakis MCP Server can be utilized in fields requiring virtual machine management and sandbox environments, particularly in AI development and testing scenarios.

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 Arrakis Mcp Server

Arrakis MCP Server is a Model Context Protocol (MCP) server that provides access to the Arrakis VM sandbox functionality, designed for integration with Large Language Models.

Use cases

Use cases include running isolated experiments with Large Language Models, managing VM states for testing, and facilitating file transfers between host and virtual environments.

How to use

To use the Arrakis MCP Server, clone the repository, navigate to the directory, and configure your LLM tool to point to the server by adding specific settings to your MCP configuration.

Key features

Key features include the ability to list available VMs, start and manage VM sandboxes, create and restore snapshots, execute commands, and upload/download files within VMs.

Where to use

Arrakis MCP Server can be utilized in fields requiring virtual machine management and sandbox environments, particularly in AI development and testing scenarios.

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

Arrakis MCP Server

A Model Context Protocol (MCP) server that exposes Arrakis VM sandbox functionality to Large Language Models.

Setup

Clone this repository:

git clone https://github.com/abshkbh/arrakis-mcp-server.git
cd arrakis-mcp-server

Configure your LLM tool to use the Arrakis MCP server by adding the following to your MCP configuration:

API

The Arrakis MCP Server exposes the following MCP resources and tools:

Resources

arrakis://vms - List all available VMs
arrakis://vm/{vm_name} - Get information about a specific VM

Tools

start_sandbox - Start a new VM sandbox
restore_snapshot - Restore a VM from a snapshot
snapshot - Create a snapshot of a VM
run_command - Run a command in a VM
upload_file - Upload a file to a VM
download_file - Download a file from a VM
destroy_vm - Destroy a specific VM
destroy_all_vms - Destroy all VMs
update_vm_state - Update the state of a VM (pause/stop)

License

This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.

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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