mcp-image-extractor and markly-mcp-server
These two tools are complements, as one extracts image information for AI analysis and the other watermarks images via AI agents, suggesting a workflow where image analysis could inform watermarking strategies.
About mcp-image-extractor
ifmelate/mcp-image-extractor
MCP server which allow LLM in agent mode to analyze image whenever it needs
Implements three extraction tools—from local files, URLs, and base64 data—with automatic image resizing to 512x512 pixels to optimize LLM context usage. Built as an MCP server that integrates with Cursor and Claude via stdio transport, enabling AI agents to dynamically fetch and analyze images during multi-step tasks like test result review. Handles playwright screenshots and other image-based workflows where agents need on-demand visual context without pre-loading.
About markly-mcp-server
Whitemarmot/markly-mcp-server
MCP Server for Markly.cloud - watermark images via AI agents
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