MCP Servers by AI Castle Labs

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

• stackzero-labs/mcp

  stackzero-labs

  A

  security

  A

  license

  A

  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

• Claude-Modeling-Labs MCP

  MediocreTriumph

  -

  security

  F

  license

  -

  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

• People Data Labs MCP Server

  phxdev1

  A

  security

  A

  license

  A

  quality

  Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.

  Last updated 10 months ago

  10

  2

  Apache 2.0
• 

  Sauce Labs MCP Serverofficial

  saucelabs

  A

  security

  A

  license

  A

  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 7 days ago

  34

  10

  Apache 2.0

• Kiseki-Labs-Readwise-MCP

  kiseki-technologies

  A

  security

  F

  license

  A

  quality

  A Model Context Protocol Server that enables language models to access and manipulate Readwise documents and highlights programmatically.

  Last updated 6 months ago

  4

  9

• Roba Labs MCP Server

  Tairon-ai

  -

  security

  A

  license

  -

  quality

  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