AI Tool for Screen Grabbing and Graphic Design Analysis MCP servers

"AI Tool for Screen Grabbing and Graphic Design Analysis" matching MCP servers:

• Todo for AI MCP Server

  todo-for-ai

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  security

  A

  license

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  quality

  Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

  Last updated 2 months ago

  6

  Apache 2.0

• MCP Screen Text

  ikhide

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  security

  F

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  quality

  Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.

  Last updated 7 months ago

  1

• Screen View MCP

  hemenge133

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  security

  F

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  quality

  Enables AI assistants to capture and analyze screenshots using Claude Vision API, providing AI-powered insights about desktop interface content, UI elements, and visual layouts.

  Last updated 10 months ago

  10

  2

• Vibe Preprocessing and

  mudit14224

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  security

  F

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  quality

  Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

  Last updated 9 months ago

  3

• MCP CSV Analysis with Gemini

  falahgs

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  security

  F

  license

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  quality

  An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

  Last updated 10 months ago

  2

• Perplexity Tool for Claude

  letsbuildagent

  A

  security

  A

  license

  A

  quality

  A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

  Last updated a year ago

  1

  4

  MIT