"Reading data from MySQL database" matching MCP servers:

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Enables AI agents and MCP-compliant clients to extract visual data from charts and graphs into structured markdown tables using deterministic, zero-dependency Python.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Enables coding agents to turn videos from social platforms or local files into a small set of distinct frames plus a manifest, so they can answer visual questions by reading image paths. Also provides metadata lookup for captions and authors without downloading the video.

Lizard Eyes — a local vision MCP server backed by Qwen3-VL-4B, exposing a single vision.inspect tool for analyzing images via llama-server.

A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.

MCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.

MCP server for ScanToBill, an AI-powered OCR platform that extracts structured JSON from invoices and business documents in Arabic and English. It enables Claude Desktop to extract invoice data from URLs, list past extractions, and retrieve detailed results.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

MCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.

Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.

Provides AI-powered image analysis and OCR capabilities using the Kolosal Vision API. Supports analyzing images from URLs, local files, or base64 data with natural language queries for object detection, scene description, text extraction, and visual assessment.

An MCP server for image understanding via OpenAI-compatible vision models, offering tools for OCR, error screenshot diagnosis, technical diagram reading, data visualization analysis, UI-to-code conversion, and UI diff comparison.

Extracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.

Enables AI assistants to recognize and extract information from images via GLM-4V, supporting automatic screenshot recognition and MCP-based local image file reading for non-vision models like DeepSeek.

Enables listing image files in a directory and reading their content as base64 for display.

A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.

Enables generating beautiful syntax-highlighted code screenshots with professional themes directly from Claude. Supports file reading, line selection, git diff visualization, and batch processing across 20+ programming languages.

Enables decoding QR codes from images provided as either base64 data URLs or HTTP(S) image URLs. Supports common image formats and returns the decoded text content with clear error handling.