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servidor de arrakis-mcp
MCP Server forhttps: //github.com/abshkbh/arrakis
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Arrakis MCP Server
A Model Context Protocol (MCP) server that exposes Arrakis VM sandbox functionality to Large Language Models.
Setup
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:
"mcpServers": { "arrakis": { "command": "<path-to-uv>", "args": [ "--directory", "<path-to-repo>", "run", "arrakis_mcp_server.py" ] } }
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.
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Espejo dehttps: //github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_3TLsHYen
I've been using YouTube MCP: AI-Powered Solution for Enhanced YouTube Experience by blukglug, and it's absolutely fantastic. This tool leverages AI to significantly improve my YouTube browsing and viewing experience. The user interface is intuitive, and the speed is impressive. It truly enhances how I interact with YouTube, making content discovery and management smoother. Highly recommend this to all YouTube enthusiasts!