Extract text from image files or URLs using optical character recognition (OCR) with the Florence-2 MCP Server. Process images to retrieve text content efficiently.
Extract structured data from images using a prompt, with options for URL or base64 inputs and JSON output format. Ideal for processing visual information into actionable insights.
Extract targeted information from files without loading entire contents. Ask specific questions about text, code, images, or PDFs to get precise answers while minimizing context usage.
A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.
A Model Context Protocol server that enables AI-powered image generation through Stability AI and Black Forest Labs APIs, allowing users to create images from detailed text prompts with customizable settings and comprehensive metadata tracking.