MCP Servers by Rootly AI Labs

"author:Rootly-AI-Labs" matching MCP servers:

• stackzero-labs/mcp

  stackzero-labs

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  security

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  license

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  quality

  A model context protocol server that enables applications to use stackzero-labs/ui components through the MCP protocol, supporting both standalone operation and integration with Claude Desktop and Cursor.

  Last updated 8 months ago

  12

  25

  5

  MIT

• Hi-AI

  su-record

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  security

  A

  license

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  quality

  A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.

  Last updated a month ago

  35

  84

  3

  MIT
• 

  Sauce Labs MCP Serverofficial

  saucelabs

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  security

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  license

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  quality

  Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.

  Last updated 6 days ago

  34

  10

  Apache 2.0

• Claude-Modeling-Labs MCP

  MediocreTriumph

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  security

  F

  license

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  quality

  A comprehensive toolkit that enables automated interaction with Cisco Modeling Labs (CML) for creating network topologies, configuring devices, and managing lab environments.

  Last updated 7 months ago

  1

• Roba Labs MCP Server

  Tairon-ai

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  security

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  Provides a comprehensive robotics information hub with details on frameworks like ROS and Gazebo, robot types, and curated learning resources. It enables AI assistants to access offline robotics documentation and development roadmaps without external API dependencies.

  Last updated 3 months ago

  MIT

• Rakit UI AI

  madebyaris

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  security

  A

  license

  A

  quality

  Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.

  Last updated 21 days ago

  1

  16

  4

  MIT