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URL: https://glama.ai/mcp/servers/integrations/yolo

⇱ YOLO | Glama

  • Why this server?

    Recommends using YOLO mode for optimal experience, suggesting the MCP server works best with this feature enabled in Cursor settings.

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    An MCP server providing web development tools such as screen capturing capabilities that let AI agents take and work with screenshots of the user's screen.
    Last updated
    2
    36
    15
    MIT

  • Why this server?

    Provides access to YOLO plugins through AScript's online plugin library for computer vision and object detection capabilities in device automation workflows.

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    Enables AI programming tools to query AScript API documentation and control real Android/iOS devices for automation scripting, including device interaction, development deployment, and file management.
    Last updated
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    MIT

  • Why this server?

    Recommends using YOLO mode in Cursor settings for optimal experience with the frontend review tool.

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    An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
    Last updated
    1
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    GPL 2.0

  • Why this server?

    Supports YOLOv5 object detection models for real-time AI inference with accelerators like MemryX MX3 and Coral TPU, achieving 80+ FPS on Raspberry Pi.

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    Enables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.
    Last updated
    58
    4
    MIT

  • Why this server?

    Recommends using YOLO mode in Cursor settings to optimize the frontend review experience, allowing for more seamless interaction with the visual review tools.

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    An MCP server that visually reviews UI edit requests by comparing screenshots before and after edits, ensuring changes satisfy user requests.
    Last updated
    1
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    31

  • Why this server?

    Allows for the configuration, labeling, and training of custom YOLOv8 object detection models through an automated MCP workflow.

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    An MCP server that enables automated dataset creation and custom object detection model training through natural language interactions. It integrates foundation models like GroundedSAM for auto-labeling and supports training specialized YOLOv8 models using local or Unsplash images.
    Last updated
    4
    MIT

  • Why this server?

    Requires YOLO mode to be enabled in Cursor settings for optimal experience with the webdev-mcp server's screenshot functionality.

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    An MCP server that provides web development tools including taking screenshots of screens, enabling AI agents to capture and analyze visual content during development.
    Last updated
    2
    36
    11

  • Why this server?

    Leverages YOLO (You Only Look Once) models for advanced computer vision tasks including object detection, segmentation, classification, and pose estimation with support for model training, validation, and export

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    A computer vision service that allows Claude to perform object detection, segmentation, classification, and real-time camera analysis using state-of-the-art YOLO models.
    Last updated
    37
    MIT

  • Why this server?

    Integrates YOLO object detection models for identifying and locating objects in images with customizable confidence settings.