Image Tools MCP, developed by Ironsheep, is a free MCP server designed to equip AI agents with advanced image analysis capabilities. Built primarily in Go, it offers a suite of 18 specialized tools for detailed image processing. This platform-agnostic solution provides precise measurements, color sampling, and shape detection, enhancing AI agents' ability to interpret visual data accurately. It integrates with MCP clients like Claude Desktop and Claude Code, bridging the gap between AI visual understanding and specific data extraction needs for developers.

What does Image Tools MCP connect to?

Image Tools MCP functions as an MCP server, linking directly with Model Context Protocol clients. It specifically provides detailed image analysis tools for AI agents, such as Claude. The server supports standard Model Context Protocol transport mechanisms, including stdio and Streamable HTTP, with an option for Server-Sent Events. Confirmed compatible AI clients include Claude Desktop and Claude Code, enabling these agents to harness its image analysis capabilities effectively.

Core features and tools

Image Tools MCP exposes 18 specialized tools for image analysis. These include basic operations like image_load and image_dimensions. Region operations feature image_crop and image_crop_quadrant. Color tools comprise image_sample_color, image_sample_colors_multi, and image_dominant_colors. Measurement capabilities include image_measure_distance and image_grid_overlay. OCR tools are image_ocr_full, image_ocr_region, and image_detect_text_regions. Shape detection offers image_detect_rectangles, image_detect_lines, image_detect_circles, and image_edge_detect. Finally, analysis tools include image_check_alignment and image_compare_regions.

Who is it for?

This tool is for AI agents, particularly Claude, and developers creating AI applications that demand exact image analysis. It supports scenarios where AI needs to interpret visual information with high precision, such as recreating diagrams or analyzing UI elements. Its capabilities are tailored for tasks requiring detailed measurements, color identification, and object detection from images. Skip this if your AI application does not require precise, callable image analysis tools.

How to get started

No credentials are required to operate the standard stdio transport. For Streamable HTTP, Model Context Protocol generally supports authentication via bearer tokens, API keys, or OAuth.

Use cases

• Enabling Claude to accurately recreate diagrams as TikZ/LaTeX code by providing exact measurements, colors, text content, and shape positions.
• Bridging the gap between Claude's visual understanding and precise measurements for tasks like UI analysis and technical documentation.
• Assisting AI agents in understanding images through requests such as zooming in, looking at colors, and measuring dimensions.

Image Tools MCP by Ironsheep offers powerful, precise image analysis for AI agents and developers. Its Go-based architecture and diverse toolset empower AI to perform detailed visual interpretation, from OCR to shape detection. This free MCP server enhances AI capabilities in demanding tasks requiring exact data extraction from images.