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

⇱ OpenCV | Glama

  • Why this server?

    Enables real-time face detection and recognition capabilities for the Eye Agent, allowing the system to visually identify users

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    A multi-agent human-computer interaction system that enables natural interaction through integrated visual recognition, speech recognition, and speech synthesis capabilities.
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    Apache 2.0

  • Why this server?

    Uses OpenCV for core image manipulation operations like cropping, resizing, and drawing text and shapes on images.

  • Why this server?

    Supports installation and integration of OpenCV for computer vision applications on Jetson devices.

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    Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.
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    MIT

  • Why this server?

    Provides comprehensive camera and vision capabilities including USB camera capture, image analysis, face detection, edge detection, motion detection, and image comparison using OpenCV.

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    Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.
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    MIT

  • Why this server?

    Provides powerful computer vision capabilities including image processing, face detection, object detection, and video analysis using the OpenCV library.

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    Provides OpenCV computer vision capabilities for AI assistants, enabling image processing, object detection, face detection, and video analysis through natural language.
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    MIT

  • Why this server?

    Leverages OpenCV's camera interfaces to capture images, manipulate video properties like brightness and contrast, and perform basic image transformations.

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    A Model Context Protocol server that enables AI assistants to access and control webcams through OpenCV, allowing for image capture and camera setting manipulation.
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  • Why this server?

    Leverages OpenCV library for local image processing, technical metadata extraction, and optical character recognition capabilities

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    Enables AI assistants to analyze images from URLs or local files using xAI's Grok API. Provides detailed image descriptions, technical metadata extraction, and optical character recognition (OCR) capabilities.
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  • Why this server?

    Used for image processing operations when handling scanned documents, supporting the OCR functionality to extract text from images.

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    A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.
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  • Why this server?

    Enables image processing and manipulation before inserting images into Word documents, with support for reading images using OpenCV and embedding them directly from cv2 image matrices.

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    A Python application that allows creating and editing Microsoft Word (.docx) documents through an API, built with FastMCP for interacting with Word documents.
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