"Assistance with Data Analysis on Database Data" matching MCP servers:

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

MCP server for image analysis, providing OCR text extraction, image metadata, and EXIF/GPS data as structured JSON for downstream processing.

FastMCP server for image analysis providing OCR, metadata, and EXIF extraction.

Provides AI-powered image analysis using Google Gemini 2.0 Flash, with support for multiple access methods and robust security features.

AI-powered image analysis using Google Gemini 2.0 Flash with enterprise security and multiple client access methods.

Enables users to calibrate multimodal chart coordinates and recover tabular datasets from visual bar, line, and scatter charts as structured numbers.

Enables extraction of numeric data points from visual bar, line, and scatter charts by calibrating coordinates and recovering structured tabular datasets from document payloads. Returns validated matrices and audit telemetry to MCP-compliant clients such as Claude Desktop and Cursor.

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

Provides Claude with detailed image inspection capabilities, including metadata extraction, histogram analysis, tonal and color analysis, sharpness detection, and more, supporting both standard and RAW formats.

Enables intelligent analysis and organization of image collections with smart filename generation, metadata extraction, and automated folder organization. Supports batch processing, color analysis, EXIF data extraction, and multiple naming styles for efficient photo management.

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

Reverse-engineers design videos and images into structured frontend implementation specifications using vision LLMs and FFMPEG for frame-level analysis.

Enables AI agents to analyze images and videos, and generate optimized prompts for AI video generation systems.

AI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.

Enables extracting text, structure, and image data from unstructured documents (PDF, DOCX, PPTX, SVG, PNG, JPG) and scanning folder trees.

Enables generation of various chart types (bar, line, pie, radar, etc.) using QuickChart.io service. Supports creating chart URLs and downloading chart images locally with customizable Chart.js configurations.

Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.

Enables AI assistants to locally process images with tools for cropping, zooming, enhancement, edge detection, segmentation, and text region extraction, all without external API keys. It uses PIL, OpenCV, and scikit-image for robust image analysis.

A FastAPI-based server that provides a web UI for uploading, processing, and analyzing trading screenshots with automatic trade data extraction and analytics.

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.