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Description

Introducing the OpenCV MCP Server, a Python package that brings powerful computer vision capabilities to AI assistants and language models through the Model Context Protocol (MCP).

Server Details

  • Server: OpenCV MCP Server

Motivation and Context

The OpenCV MCP Server addresses the growing need for seamless image processing capabilities in AI interactions. By providing a standardized interface for computer vision tools, this package enables AI assistants to perform complex image manipulations and analyses with ease.

Key Features

  • Comprehensive image handling and manipulation
  • Support for basic and advanced computer vision operations
  • Configurable through environment variables
  • Easy installation via pip

How Has This Been Tested?

  • Tested image processing workflows:
    • Color space conversions
    • Image resizing
    • Statistical analysis
    • Image cropping
  • Verified compatibility with Claude desktop environment
  • Validated tool functionality across different image types

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • [ x] New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation update

Checklist

  • [ x] I have read the MCP Protocol Documentation
  • [ x] My changes follows MCP security best practices
  • [ x] I have updated the server's README accordingly
  • [ x] I have tested this with an LLM client
  • [ x] My code follows the repository's style guidelines
  • [ x] New and existing tests pass locally
  • [ x] I have added appropriate error handling
  • [ x] I have documented all environment variables and configuration options

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